| Êíèãà | Ñòðàíèöû äëÿ ïîèñêà |
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| Êîðìåí Ò., Ëåéçåðñîí ×., Ðèâåñò Ð. — Àëãîðèòìû: ïîñòðîåíèå è àíàëèç | 1242 |
| Êîðìåí Ò., Ëåéçåðñîí ×., Ðèâåñò Ð. — Àëãîðèòìû: ïîñòðîåíèå è àíàëèç | 115 |
| Ñåðãèåíêî À.Á. — Öèôðîâàÿ îáðàáîòêà ñèãíàëîâ | 64 |
| Ãîâîðóõèí Â., Öèáóëèí Á. — Êîìïüþòåð â ìàòåìàòè÷åñêîì èññëåäîâàíèè | 227 |
| Ïðîõîðîâ Ã.Â., Ëåäåíåâ Ì.À., Êîëáååâ Â.Â. — Ïàêåò ñèìâîëüíûõ âû÷èñëåíèé MAPLE 5 | 103 |
| Ìàíçîí Á.Ì. — Maple V power edition | 182 |
| Abramowitz M., Stegun I. (eds.) — Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Table | 928 |
| Hunter J.K., Nachtergaele B. — Applied Analysis | 321 |
| Grinstead C.M., Snell J.L. — Introduction to Probability | 257, 271 |
| Ross S.M. — Introduction to probability models | 43, 44 |
| Apostol T.M. — Calculus (vol 2) | 556 |
| Graham R.L., Grotschel M., Lovasz L. — Handbook of combinatorics (vol. 1) | 1794, 1795, 1814 |
| Hatrl D.L., Jones E.W. — Genetics: Principles and Analysis | 672—673, 675—680 |
| Falconer K. — Fractal Geometry. Mathematical Foundations and applications | 21 |
| Petrie A., Sabin C. — Medical Statistics at a Glance | 18—19 |
| Abramowitz M., Stegun I. — Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables | 928 |
| Devroye L. — Generation of non-uniform random variates | 5 |
| Falconer K. — Fractal Geometry: Mathematical Foundations and Applications | 22 |
| Fisher Y. — Fractal Image Compression. Theory and Application | 57, 85, 170, 288, 298, 299, 301 |
| Diestel R. — Graph Theory | 242 |
| Ames W.F. — Numerical methods for Partial Differential Equations | 26 |
| Allen R.L., Mills D.W. — Signal analysis. Time, frequency, scale and structure | 613 |
| CustomGuide Inc — Project 2003 Personal Trainer | |
| Mazzullo J., Wheatley P. — SAP R/3 for Everyone: Step-by-Step Instructions, Practical Advice, and Other Tips and Tricks for Working with SAP | 2nd |
| Aqaian S., Astola J., Egiazarian K. — Binary polynomial transforms and nonlinear digital filters | 249 |
| Good P.I., Hardin J.W. — Common Errors in Statistics : (and How to Avoid Them) | 45, 49, 54, 60—61, 104 |
| Gray R.M., Davisson L.D. — Introduction to statistical signal processing | 47, 57, 194, 206 |
| Felinger A. — Data analysis and signal processing in chromatography | 9 |
| Finlayson B.A. — Numerical Methods for Problems With Moving Fronts | 588 |
| Tennekes H., Lumley J.L. — A First Course in Turbulence | 30, 199 |
| Schweizer W. — Numerical quantum dynamics | 4 |
| Frey B. — Statistics Hacks | |
| Patton P., Jayaswal B. — Design for Trustworthy Software: Tools, Techniques, and Methodology of Developing Robust Software | |
| Alon N., Spenser J. — The probabilistic method | vii, 18, 41—42, 44, 55—56, 58—59, 101—102, 146, 188, 201, 224, 267—268, 270 |
| Hertling C. — Frobenius manifolds and moduli spaces for singularities | 256 |
| Hyvarinen A. — Independent Component Analysis | 22 |
| Meyer C.D. — Matrix analysis and applied linear algebra | 447 |
| Pindyck R.S., Rubinfeld D.L. — Microeconomics | 140—143 |
| Kreuzer M., Robbiano L. — Computational commutative algebra 1 | 268 |
| Föllmer H., Schied A. — Stochastic finance | 81 |
| Graham R.L., Grotschel M., Lovasz L. — Handbook of combinatorics (vol. 2) | 1794, 1795, 1814 |
| Stansfield W.D. — Schaums outline of genetics | 213 |
| Mangano S. — XSLT Cookbook | |
| Raychaudhury S. — Computational text analysis for functional genomics and bioinformatics | 34, 35 |
| Kline K.E. — SQL in a Nutshell | |
| Clote P., Backofen R. — Computational Molecular Biology | 26 |
| Kundu P.K., Cohen I.R. — Fluid mechanics | 502 |
| Liboff R. — Kinetic Theory | 48, 161 |
| Kecman V. — Learning and soft computing. Support vector machines, neural networks, and fuzzy logic models | 134—136 |
| Williamson R.E., Crowell R.H., Trotter H.F. — Calculus of vector functions | 341 |
| Fletcher R. — Practical methods of optimization. Volume 1: unconstrained optimization | 93 |
| Taberling P. (ed.), Cardoso O. (ed.) — Turbulence: a tentative dictionary | 1, 28, 78, 89 |
| Chorin A., Marsden J. — A Mathematical Introduction to Fluid Mechanics | 83, 143 |
| Peters E.E. — Chaos and Order in the Capital Markets | 20, 27 |
| Folland J.B. — Real Analysis: Modern Techniques and Their Applications | 314—315 |
| Leach A.R. — Molecular Modelling Principles and Applications | 20 |
| Curtain R.F., Pritchard A.J. — Functional Analysis in Modern Applied Mathematics | 36, 78 |
| Skorokhod A.V., Prokhorov Y.V. (Ed) — Basic Principles and Applications of Probability Theory | 31, 40, 60, 85, 87, 91, 132, 133, 162, 196, 199, 200, 206, 209 |
| Behnke H., Bachmann F., Fladt K. — Fundamentals of Mathematics, Volume III: Analysis | 102, 107 |
| Mahmoud H.M. — Evolution of random search trees | 35 |
| Hamilton J.D. — Time Series Analysis | 44—45, 740 |
| Efetov K. — Supersymmetry in disorder and chaos | 193—194, 217—218, 224, 297 |
| Diestel R. — Graph theory | 307 |
| Honerkamp J. — Statistical Physics | 19 |
| Lim Ch., Nebus J. — Vorticity, Statistical Mechanics, and Monte Carlo Simulation | 15, 16, 18—22, 24, 27, 43 |
| Wolkenhauser O. — Data Engineering: Fuzzy Mathematics in Systems Theory and Data Analysis | 33, 54, 56, 58—59, 75, 97, 245 |
| Fogiel M. — The Operations Research Problem Solver | 8—31, 12—17, 12—30 |
| Halmos P.R. — Measure Theory | 194 |
| Lovelock D., Mendel M., Wright A.L. — Introduction to the Mathematics of Money: Saving and Investing | 179, 258—260, 265—267 |
| Engel K. — Sperner theory | 305 |
| Balakrishnan N., Nevzorov V.B. — A Primer on Statistical Distributions | 5, 7, 20, 30, 40, 44, 50, 52, 72, 100, 103, 109, 115, 118, 124, 129, 137, 145, 154, 160, 164, 171, 182, 192, 203, 205, 211, 216, 217, 220, 227, 234, 239, 241, 245, 246, 255, 259, 268 |
| Hastie T., Tibshirani R., Friedman J. — The Elements of Statistical Learning Data Mining, Inference and Prediction | 16, 24, 37, 134—136, 193 |
| Polyanin A., Manzhirov A.V. — Handbook of Mathematics for Engineers and Scientists | 1044 |
| Dudley R.M., Fulton W. (Ed) — Real Analysis and Probability | 252—253 |
| Steele J.M. — Cauchy-Schwarz Master Class: An Introduction to the Art of Mathematical Inequalities | 18, 116 |
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| Kanatani K. — Statistical Optimization for Geometric Computation: Theory and Practice | 61 |
| Graybill F.A., Iyer H.K. — Regression Analysis | 13 |
| Resnick S.I. — A probability path | 128, 155 |
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| Buhlmann H., Berger M. (Ed) — Mathematical Methods in Risk Theory | 16 |
| Comtet L. — Advanced Combinatorics. The Art of Finite and Infinate Expansions | 160 |
| Shoup V.A. — Computational Introduction to Number Theory and Algebra | 113 |
| Chatfield C. — The Analysis of Time Series: An Introduction | 28 |
| Loeve M. — Probability Theory (part 1) | 12, 244 |
| Gershenfeld N. — The Nature of Mathematical Modelling-Neil Gershenfeld | 46 |
| Salvatore D., Reagle D. — Statistics and econometrics | 26—29 |
| Malliaris A.G., Brock W.A. — Stochastic methods in economics and finance | 11 |
| Ross S. — A First Course in Probability | 142—143, 171, 200, 238 |
| Galwey N.V. — Introduction to Mixed Modelling: Beyond Regression and Analysis of Variance | 7, 8, 16, 27, 62, 73, 77, 79, 81, 92,106, 125, 129, 146, 157, 160, 166, 175,181, 187, 212, 233, 261, 282, 314, 333,336, 342, 352 |
| Duistermaat J.J., Kolk J.A.C. — Multidimensional Real Analysis II: Integration | 617 |
| Khuri A.I. — Advanced calculus with applications in statistics | 117, 239 |
| Gudder S.P. — Stochastic methods in quantum mechanics | 9, 51 |
| Stone C.J.D. — Course in Probability and Statistics | 99—110, 765 |
| Lad F. — Operational Subjective Statistical Methods. A Mathematical, Philosophical, and Historical Introduction | 250—254 |
| Petrov V.V. — Sums of Independent Random Variables | 5 |
| Smith S.W. — Digital Signal Processing | 14 |
| Kahane J.P., Bollobas B. (Ed) — Some Random Series of Functions | 6 |
| Barlow R. — Statistics: A Guide and Reference to the Use of Statistical Methods in the Physical Sciences | 8—12 |
| Cohen E.R. — Fundamental Constants of Physics | 235 |
| Shreve S.E. — Stochastic Calculus for Finance 2 | 62 |
| Hartl D.L., Jones E.W. — Genetics: Principles and Analysis | 672—673, 675—680 |
| Spiegel M.R., Stephens L.J. — Schaum's outline of theory and problems of statistics | 91 (see also “Standard deviation”) |
| White D.J. — Markov Decision Processes | 31, 56, 153, 163, 165, 167 |
| Kadanoff L.P. — Statistical physics | 30, 31 |
| Najim K., Ikonen E., Daoud A.-K. — Stochastic processes. Estimation, optimization and analysis | 24, 94, 97, 110, 318 |
| Vapnik V. — Estimation of dependences based on empirical data | 30 |
| Ross Sh.M. — Topics in Finite and Discrete Mathematics | 92—93 |
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| Baxter M., Rennie A. — Financial calculus | 42, 47, 58 |
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| Taylor J.C. — An Introduction to Measure and Probability | 140 |
| Takezawa K. — Introduction to Nonparametric Regression | 10, 105, 107, 111, 135, 148, 151, 191, 240, 242, 359, 368 |
| Shiryaev A.N. — Probability | 41 |
| Fienberg S., Holland P.W., Bishop Y.M. — Discrete Multivariate Analysis | see also “Delta method” |
| Jahne B. — Digital Image Processing | 80, 83, 93, 416, 465 |
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| Lay D.C. — Linear Algebra And Its Applications | 394, 438 |
| Dupacova J., Hurt J., Stepan J. — Stochastic Modeling in Economics and Finance | 43, 134 |
| Luenberger D.G. — Investment science | 143, 476 |
| Krause A., Olson M. — The basics of S-plus | see “var” |
| Sokolnikoff I.S. — Mathematics of Physics and Modern Engineering | 664, 669 |
| Friedman J., Hastie T., Tibshirani R. — The Elements of Statistical Learning | 16, 24, 37, 134—136, 193 |
| Duffie D. — Security Markets. Stochastic Models | 10, 63 |
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| Sack J.R., Urrutia J. (Ed) — Handbook of Computational Geometry | 276, 277 |
| von zur Gathen J., Gerhard J. — Modern computer algebra | 682 |
| von zur Gathen J., Gerhard J. — Modern computer algebra | 682 |
| Feller W. — Introduction to probability theory and its applications (volume 1) | 227ff. |
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| Wiley E.O. — Phylogenetics. The theory and practice of phylogenetic systematics | 343 |
| Kolmogorov A.N., Fomin S.V. — Introductory real analysis | 366 |
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| Norman G.R., Streiner D. — Biostatistics: the bare essentials | 18—19 |
| Serra J. — Image Analysis and Mathematical Morphology | 272 (see also “Moments”) |
| Strang G. — Linear Algebra and Its Applications | 165, 204 |
| Cody R.P., Smith J.K. — Applied Statistics and the SAS Programming Language | 25 |
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| Johnson K., Lark-Horovitz V.A. — Methods of Experimental Physics Solid State Physics (Volume 6/PartA) | 3—4 |
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| Lyons R.G. — Understanding Digital Signal Processing | 319—320 |
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| Saaty T.L. — Elements of Queueing theory with applications | 31 |
| Balian R. — From Microphysics to Macrophysics: Methods and Applications of Statistical Physics (vol. 1) | 67, see “Fluctuations” |
| Tarantola A. — Inverse problem theory and methods for model parameter estimation | 172 |
| Feller W. — Introduction to probability theory and its applications (Volume II) | 5, 46, 136 |
| Kenzel W., Reents G., Clajus M. — Physics by Computer | 24, 162, 200 |
| Pope S.B. — Turbulent Flows | 41 |
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| Spirer H.F., Spirer L., Jaffe A.J. — Misused Statistics | 120 |
| Billingsley P. — Probability and Measure | 73, 282, 285 |
| Grimmett G., Stirzaker D. — Probability and Random Processes | 51, 94 |
| Gardiner C.W.W., Haken H. — Handbook of Stochastic Methods: For Physics, Chemistry and the Natural Sciences | 30 |
| Hamming R.W. — Numerical methods for scientists and engineers | 28, 172 |
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| Lynch D.R. — Numerical Partial Differential Equations for Environmental Scientists and Engineers: A First Practical Course | 268 |
| Lipschutz S. — Schaum's Outline of Probability | 78, 83, 84 |
| Nicolis G., Prigogine I. — Self-organization in nonequilibrium systems | 225 |
| Shreve S.E. — Stochastic Calculus for Finance 1 | 29 |
| Mehta M.L. — Random Matrices | 594 |
| Antia H.M. — Numerical Methods for Scientists and Engineers | 250, 251, 254, 263, 398, 399, 409, 803 |
| Mazo R.M. — Brownian Motion: Flucuations, Dynamics, and Applications | 22, 243, 250 |
| Ash R.B., Doléans-Dade C.A. — Probability and Measure Theory | 191 |
| Reisig W., Rozenberg G. — Petri Nets | 46, 47, 76 |
| Bona M. — Combinatorics of permutations | 233 |
| West B.J., Bologna M., Grigolini P. — Physics of Fractal Operators | 188 |
| Goodman J.W. — Statistical Optics | 16 |
| Risken H. — The Fokker-Planck equation: methods of solution and applications | 23 |
| Prigogine I. — From being to becoming: time and complexity in the physical sciences. | 133, 138 |
| Haight F.A. — Handbook of the Poisson Distribution | 8 |
| Graybill F.A. — Matrices with Applications in Statistics | 1 |
| Bow S.-T. — Pattern recognition and image preprocessing | 40, 92, 116 |
| Arwini K. — Information Geometry: Near Randomness and Near Independence | 2, 7 |
| Basdevant J.-L., Dalibard J. — Quantum Mechanics | 412 |
| Auletta G. — Foundations and Interpretation of Quantum Mechanics | 54, 711 |
| Englezos P., Kalogerakis K. — Applied parameter estimation for chemical engineers | 32, 177, 328 |
| Gordon H. — Discrete Probability | 84, 96 |
| Adler S.L. — Quantum theory as emergent phenomenon | 171, 175, 178, 180, 187—188 |
| Roe B.P. — Probability and Statistics in Experimental Physics | 7, 8, 10, 12, 18—26, 34, 36, 44, 45, 47, 49, 51—53, 57, 59, 60, 69, 78, 80, 86—88, 90, 95, 96, 99, 100, 103, 105, 110, 113, 114, 120, 121, 123, 125, 127, 130, 135, 137, 139, 141—144, 151, 153, 156, 164—166, 169—171, 177, 182, 187, 191, 198 |
| Quarteroni A., Saleri F. — Scientific Computing with MATLAB | 82, 219 |
| Cantu-Paz E. — Efficient and accurate parallel genetic algorithms | 17 |
| Sachkov V.N. — Probabilistic Methods In Combinatorial Analysis | 8 |
| Fernow R.C. — Introduction to experimental particle physics | 388—9 |
| Martin J Buerger — Crystal Structure Analysis | 617, 634 |
| Bidlingmeyer B.A. — Practical HPLC Methodology and Applications | 230 |
| Taylor P. — Text-to-Speech Synthesis | 436 |
| Spiegel M.R. — Schaum's outline of theory and problems of probability and statistics | 78, 88, 89 |
| Shafer G. — The Art of Causal Conjecture | 77, 404 |
| Durrett R. — Probability: Theory and Examples | 19 |
| Ore O. — Theory of Graphs | 30 |
| Carl D. Meyer — Matrix Analysis and Applied Linear Algebra Book and Solutions Manual | 447 |
| Rao M.M., Swift R.J. — Probability Theory With Applications | 18 |
| Hamming R.W. — Coding and Information Theory | 181 |
| Petrov V.V. — Limit theorems of probability theory | 6 |
| Graham J., Baldock R. — Image processing and analysis. A practical approach | 250 |
| Steeb W., Hardy Y. — Problems and Solutions in Quantum Computing and Quantum Information | 196, 213 |
| Rektorys K. — Survey of applicable mathematics | 1279 |
| Astfalk G. — Applications on Advanced Architecture Computers | 30, 31 |
| Adomian G. — Stochastic Systems | 68 |
| Bracewell R. — The Fourier Transform and Its Applications | 159—160 |
| Marks R.J.II. — The Joy of Fourier | 150-158, 160, 163, 166-168, 171, 173-, 179, 181, 201-203, 207, 209, 719-732, 734 |
| Seymour L. — Schaum's Outline of Theory and Problems of Discrete Math | 161 |
| Adler R.J. — Geometry of random fields | 8 |
| Peebbles P.Z. — Radar Principles | 708 |
| Barnett S.M., Radmore P.M. — Methods in Theoretical Quantum Optics | 3, 72, 78, 80, 151, 178 |
| Mandel L., Wolf E. — Optical Coherence and Quantum Optics | 12 |
| Gnedenko B.V., Kolmogorov A.N., Chung K.L. — Limit Distributions for Sums of Independent Random Variables. Revised Edition | 44 |
| Choquet-Bruhat Y., DeWitt-Morette C., Dillard-Bleick M. — Analysis, manifolds and physics. Part I. | 581 |
| Haken H. — Synergetics: an introduction | 29, 31 |
| Chase R.B., Jacobs E.R. — Operations management for competitive advantage | 525 |
| Weaver H.J. — Applications of discrete and continous Fourier analysis | 339 |
| Franklin G.F., Workman M.L., Powell J.D. — Digital Control of Dynamic Systems | 521, 716 |
| Hamming R.W. — Art of Probability for Scientists and Engineers | 72 |
| DeGroot M.H. — Optimal statistical decisions | 23 |
| Myler H.R., Weeks A.R. — Computer imaging recipes in C | 167—200, 209—233 |
| Hamming R.W. — Numerical Methods For Scientists And Engineers | 28 |
| Mitchell T.M. — Machine Learning | 133, 136—138, 143 |
| Renliang Xu — Particle Characterization : Light Scattering Methods | 34 |
| Gelbaum B.R. — Problems in Real and Complex Analysis | 5.2. 66 |
| Mccolm I.J. — Ceramic Hardness | 122 |
| Diestel R. — Graph Theory | 242 |
| Jaisingh L.R. — Statistics for the utterly confised | 47, 144 |
| Grimmett G., Welsh D. — Probability: An Introduction | 31, 49, 68 |
| Hristev R.M. — The artificial neural network book | 191, 218, 238, 254, 343 |
| McQuarrie D.A. — Statistical Mechanics | 20 |
| Niederreiter H. — Random number generation and quasi-Monte Carlo methods | 4 |
| Stakgold I. — Green's functions and boundary value problems | 400 |
| Taylor J.R. — An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements | 100 (see also Standard deviation) |
| Conen W., Neumann G. — Coordination Technology for Collaborative Applications: Organizations, Processes, and Agents | 89, 263, 269 |
| Gould H., Tobochnik J., Christian W. — An introduction to computer simulation methods | 201, 213, 426, 427, 433 |
| Rektorys K. (ed.) — Survey of Applicable Mathematics | 1279 |
| Haken H. — Information and Self-Organization | 62 |
| Mathews J., Walker R.L. — Mathematical methods of physics | 381 |
| Ash R. — Basic probability theory | 108, 155—118 |
| Coffey W.T., Kalmykov Yu.P., Waldron J.T. — The Langevin equation | 47 |
| Bachor H.-A., Ralph T.C. — A guide to experiments in quantum optics | 61, 86 |
| Kept R. — Fundamentals of the Average Case Analysis of Particular Algorithms | 25, 29, 30, 37, 45, 147, 148, 204 A |
| Bickel P., Doksum K. — Mathematical statistics | 457 |
| Hobbie R., Roth B. — Intermediate Physics for Medicine and Biology, | 562 |
| Greene D.H., Knuth D.E. — Mathematics for the analysis of algorithms | 33, 47, 87, 115, 117 |
| Devroye L. — Non-Uniform Random Variate Generation | 5 |
| Lipschutz S., Lipson M.L. — Schaum's outline of theory and problems of discrete mathematics | 161 |
| Kotz S., Johnson N.L. — Breakthroughs in Statistics: Volume 2: Methodology and Distribution | 72 |
| Kadane J.B. (ed.) — Robustness of Bayesian Analyses | 137 |
| Strang G. — Introduction to Applied Mathematics | 142 |
| Langtangen H. — A Primer on Scientific Programming with Python | 422 |
| Behnke H., Bachmann F., Fladt K. — Fundamentals of mathematics. Volume III. Analysis | 102, 107 |
| Percival D., Walden A. — Spectral Analysis for Physical Applications | 6, 11, 33 |
| Amelino-Camelia G., Kowalski-Glikman J. — Planck Scale Effects in Astrophysics and Cosmology (Lecture Notes in Physics) | 267 |
| Oertel H. — Prandtl's Essentials of Fluid Mechanics (Applied Mathematical Sciences) | 545 |
| Bates Douglas M., Watts Donald G. — Nonlinear Regression Analysis and Its Applications (Wiley Series in Probability and Statistics) | 2 |
| Aitken A.C. — Statistical mathematics | 35 |
| Chernick M.R., Friis R.H. — Introductory Biostatistics for the Health Sciences : Modern Applications Including Bootstrap | 121, 254 |
| Streater R.F. — Statistical Dynamics: A Stochastic Approach to Nonequilibrium Thermodynamics | 21, 24, 34 |
| Allen A. — Probability, statistics, and queueing theory with computer science applications | 42, 51—52 |
| Apostol T.M. — Calculus (Volume 2): Multi-Variable Calculus and Linear Algebra with Applications | 556 |
| Richard A. DeFusco CFA, McLeavey D.W., Runkle D.E. — Quantitative Methods For Investment Analysis | 195—196 |
| Zeidler E. — Oxford User's Guide to Mathematics | 981, 996, 1000 |
| Schott J.R. — Matrix Analysis for Statistics | 19—20 |
| Grimaldi R.P., Rothman D.J. — Discrete and Combinatorial Mathematics: An Applied Introduction | 177, 180 |
| Hamilton J.D. — Time Series Analysis | 44—45, 740 |
| Jahne B., Haubecker H. — Computer vision and applications | 214 |
| Rektorys K. — Survey of Applicable Mathematics.Volume 2. | II 699 |
| Hodges J. L., Lehmann E. L. — Basic Concepts Of Probability And Statistics | 157, 158 |
| Hassani S. — Mathematical Methods: for Students of Physics and Related Fields | 790, 801 |
| Gullberg J. — Mathematics: from the birth of numbers | 976 |
| Kloeden P/, Platen E., Schurz H. — Numerical solution of SDE through computer experiments | 17, 22, 26, 55 |
| Sakurai J.J. — Modern quantum mechanics | 34 |
| Haile J.M. — Molecular Dyanmics Simualtion: Elementary Methods | 72—77, 101 |
| Osche G.R. — Optical detection theory for laser applications | see "Statistical parameters" |
| Rao S.S. — Mechanical Vibrations | 654 |
| D.E. Newland — An Introduction to Random Vibration, Spectral and Wavelet Analysis | 8 |
| Rice J.A. — Mathematical statistics and data analysis | 123 |
| Breuer H.-P., Petruccione F. — The Theory of Open Quantum Systems | 10, 362 |
| Kanwal R.P. — Generalized functions: Theory and technique | 392 |
| Bäck T. — Evolutionary Algorithms in Theory and Practice | 93, 94, 150 |
| Lord E., Wilson C. — The Mathematical Description of Shape and Form (Mathematics and Its Applications) | 209 |
| Shirley P., Ashikhmin M, Gleicher M. — Fundamentals of computer graphics | 287 |
| Krane K.S. — Introductory nuclear physics | 218 |
| Abramowitz M., Stegun I.A. (eds.) — Handbook of mathematical functions (without numerical tables) | 928 |
| Hubbard B. — The World According to Wavelets: The Story of a Mathematical Technique in the Making | 165, 173 |
| Ñåðãèåíêî À.Á. — Öèôðîâàÿ îáðàáîòêà ñèãíàëîâ. Ó÷åáíèê äëÿ âóçîâ. | 64 |
| Falconer K. — Fractal geometry: mathematical foundations and applications | 22 |
| Reichl L.E. — Modern Course in Statistical Physics | 180 |
| Choquet-Bruhat Y., Dewitt-Morette C. — Analysis, manifolds and physics | 581 |
| Mathews J., Walker R.L. — Mathematical Methods of Physics | 381 |
| Hogg R.V., Craig A.T. — Introduction to Mathematical Statistics | 58, 89, 276 |
| Yaglom A.M., Yaglom I.M. — Probability and Information | 27—34, 36 |
| Ãîâîðóõèí Â., Öèáóëèí Á. — Êîìïüþòåð â ìàòåìàòè÷åñêîì èññëåäîâàíèè | 227 |
| Ãîâîðóõèí Â., Öèáóëèí Á. — Êîìïüþòåð â ìàòåìàòè÷åñêîì èññëåäîâàíèè - Maple, Matlab, LaTex | 227 |
| Grimaldi R.P. — Student Solutions Manual for Discrete and Combinatorial Mathematics | 177, 180 |
| Bhatia R. — Matrix Analysis | 44 |
| Badii R., Politi A. — Complexity: Hierarchical structures and scaling in physics | 96 |
| Lin C., Segel L. — Mathematics Applied to Deterministic Problems in the Natural Sciences | 76—77 |
| Larsen R.J., Marx M.L. — Introduction to Mathematical Statistics and Its Applications, An (4th Edition) | see also "Sample variance" |
| Lin C., Segel L. — Mathematics applied to deterministic problems in the natural sciences | 76—77 |
| Honerkamp J. — Statistical physics: an advanced approach with applications | 19 |
| Anderson S., Auquier A., Hauck W.W. — Statistical methods for comparative studies: Techniques for bias reduction | 17 |
| Bona M. — Combinatorics of Permutations | 233 |
| Serra J. — Image Analysis and Mathematical Morphology | see also "Moments", 272 |
| Hoel P. — Introduction to Mathematical Statistics | 73 |
| Rosser W.G.V. — An introduction to statistical physics | 338 |
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