|
|
 |
| Ðåçóëüòàò ïîèñêà |
Ïîèñê êíèã, ñîäåðæàùèõ: information
| Êíèãà | Ñòðàíèöû äëÿ ïîèñêà | | Wolf E.L. — Nanophysics and nanotechnology. An introduction to modern concepts in nanoscience | | | Âîðîéñêèé Ô.Ñ. — Èíôîðìàòèêà. Íîâûé ñèñòåìàòèçèðîâàííûé òîëêîâûé ñëîâàðü | 13, 14 | | Êóçüìåíêî Â.Ã. — Ïðîãðàììèðîâàíèå íà VBA 2002 | 149 | | Khosrowpour M. — Encyclopedia Of Information Science And Technology | 430, 463, 826, 890, 1470, 1597, 1787, 2325, 2652, 2748, 2896 | | Haken H. — Synergetik | 47 | | Shorack G.R. — Probability for statisticians | 35 | | Sobell M.G. — A Practical Guide to Red Hat Linux | [See More information, system administration.] | | Âîðîáüåâ Å.Ì. — Ââåäåíèå â ñèñòåìó "Ìàòåìàòèêà" | 184 | | Êîðíÿêîâ Â.Í. — Ïðîãðàììèðîâàíèå äîêóìåíòîâ è ïðèëîæåíèé MS Office â Delphi | 418 | | Zeidler E. — Nonlinear Functional Analysis and its Applications IV: Applications to Mathematical Physic | III294, III307 | | Heyde C.C. — Quasi-likelihood and its application: a general approach to optimal parameter estimation | 2, 7, 8, 12, 40, 41, 55, 72, 92, 108, 113, 114, 118, 126, 142, 159 | | Getz G., Litwin P., Baron A. — Access Cookbook | | | Cardoza P. — Absolute Beginner's Guide to Microsoft Office OneNote 2003 | | | Kern S., Lynd D., Penny D. — Lotus Notes and Domino 6 Development | | | Carter G. — LDAP System Administration | | | Pindyck R.S., Rubinfeld D.L. — Microeconomics | 154—155 | | Winograd T. — Understanding computers and cognition | 50, 73, 76 | | Adobe Creative Team — Web ReDesign 2.0: Workflow that Works | | | Carter S. — The New Language of Business: SOA and Web 2.0 | 48, 157—158 | | Valade J. — Spring Into Linux | | | Huggins D. — Windows 2000 Network Infrastructure Exam Cram 2 (Exam 70-216) | | | Riehl M., Sterin I. — XML and Perl | | | Geier J. — Wireless networks first-step | | | Carvey H. — Windows forensics and incident recovery | | | Criddle L., Muir N. — Look Both Ways: Help Protect Your Family on the Internet | [See personally identifiable information] | | Griffiths R. — Mac OS X Power Hound | | | Kaburlasos V.G. — Towards a Unified Modeling and Knowledge-Representation Based on Lattice Theory: Computational Intelligence and Soft Computing Applications | 63 | | Maeder R.E. — Computer science with mathematica | 49 | | Parisi G. — Statistical field theory | 6 | | Brin M., Stuck G. — Introdution to dynamical system | 210 | | Alger D. — Build the Best Data Center Facility for Your Business | | | Carolan J., Radeztsky S., Strong P. — Buliding N1 Grid Solutions Preparing, Architecting, and Implementing Service-Centric Data Centers | | | Kyburg H.E., Teng Ch.M. — Uncertain Inference | 193 | | Feynman R.P. — Feynman Lectures on Computation | viii, 115 et seq. | | Steinbring H. — Construction of New Mathematical Knowledge in Classroom Interaction: An Epistemological Perspective | 52, 53, 54, 55, 71, 76, 77, 87, 88, 89, 114, 127, 180, 214 | | Ash R.B. — Information theory | 4 | | Gershenfeld N. — The Nature of Mathematical Modelling-Neil Gershenfeld | 217 | | Lawless J.F. — Statistical Models and Methods for Lifetime Data | 71—74, 77, 205, 252—253 | | Gleick J. — Chaos. Making a new science | 222, 239, 255—257, 261, 293 | | Ross S. — A First Course in Probability | 439 | | Galwey N.V. — Introduction to Mixed Modelling: Beyond Regression and Analysis of Variance | 6, 7, 29, 53, 77, 117, 127, 140,146, 156, 162, 172, 185, 191, 208, 255,283, 306, 309, 313, 316, 325 | | Lambropoulos N. (ed.), Zaphiris P. (ed.) — User-Centered Design of Online Learning Communities | 1, 2, 4, 5, 6, 7, 8, 11, 12, 14, 16,17, 18, 19, 21 | | Shiryaev A., Peskir G. — Optimal Stopping and Free-Boundary Problems | 53 | | Holden A.V. — Chaos | 292 | | Lad F. — Operational Subjective Statistical Methods. A Mathematical, Philosophical, and Historical Introduction | 123, 345—346, 355, 445 | | Barlow R. — Statistics: A Guide and Reference to the Use of Statistical Methods in the Physical Sciences | 75 | | Walecka J.D. — Fundamentals of statistical mechanics | 69 | | Talsky G. — Derivative spectrophotometry. Low and higher order | 29 | | Li M., Vitanyi P. — An introduction to Kolmogorov complexity and its applications | 65 | | Shiryaev A.N. — Probability | 72 | | Leff H.S., Rex A.F. — Maxwell's Demon 2: Entropy, Classical and Quantum Information, Computing | 12, 14—17, 19, 23, 25, 31, 36, 54—56, 85, 88—91, 95, 107—109, 120—124, 134, 136, 137—139, 142—143, 145, 154, 157—162, 169—177, 179—180, 186—188, 190—191, 197, 203—212, 214, 217—219, 224, 226, 229—231, 234—235, 238—244, 249, 262—263, 267—270, 278, 305, 307, 319—324, 328, 335—339, 341—345, 349, 359, 364—366, 372—374, 376—378, 380—381, 383—384, 386—390, 392—394, 396—397, 399, 401—402, 407, 410—411, 413, 417, 419—421, 423—424, 427, 429—432, 437—439, 442—443, 445, 447—448, 454, 457—458 | | Nagel R., Derdinger R., Günther P. — Ergodic theory in the perspective of functional analysis | Z/2 | | Chaisson E.J. — Cosmic Evolution: The Rise of Complexity in Nature | 47—50, 127—131, 132, 177 | | Luenberger D.G. — Investment science | 220—221 | | Dieudonne J.A. — Treatise on Analysis, Vol. 2 | 13.9, prob. 27 | | Berry D.A., Fristedt B. — Bandit problems | 2, 5, 7, 10, 11, 15, 63, 154, 179, 225, 241, 250 | | Carlson L. — Dialogue Games. An Approach to Discourse Analysis | 137—138 | | Kumar P.R., Varaiya P. — Stochastic Systems: Estimation, Identification, and Adaptive Control | 84 | | von Neumann John, Morgenstern Oscar — Theory of games and economic behavior | 47, 51, 54, 55, 56, 58, 67, 71, 109, 112, 183 | | Denker M., Grillenberger Ch., Sigmund K. — Ergodic Theory on Compact Spaces | 56 | | Holden A.V. — Chaos | 292 | | Bernardo J.M., Smith A.F.M. — Bayesian Theory | 6, 17, 77—81, 147—159, 207—209, 298—300, 360, see also "Logarithmic divergence" | | Gabbay D.M. (ed.), Guenthner F. (ed.) — Handbook of Philosophical Logic (Volume 13) | 18, 33, 45 | | Shapira Y. — Solving PDEs in C++: numerical methods in a unified object-oriented approach | 131, 137 | | Neumann J.V. — Theory of Self-Reproducing Automata | 18, 20, 67, 60—03, 66, 67, 78 | | Bellman R.E. — Introduction to the mathematical theory of control processes (Volume I: Linear Equations and Quadratic Criteria) | 40, 103, 127 | | Schank R.C. — Computer models of thought and language | 251 | | Csiszar I., Körner J. — Information Theory: Coding Theorems for Discrete Memoryless Systems | 1 | | Wallace C.S. — Statistical and Inductive Inference by Minimum Message Length | 57—141 | | Saaty T.L. — Elements of Queueing theory with applications | 7, 322 | | Balian R. — From Microphysics to Macrophysics: Methods and Applications of Statistical Physics (vol. 1) | 101—140, 145, 149, 201, 247—249, 358 | | Birrell N.D., Davies P.C.W. — Quantum Fields in Curved Space | 274—275, 279 | | Baglivo J.A. — Mathematica Laboratories for Mathematical Statistics: Emphasizing Simulation and Computer Intensive Methods | 89 | | Wolf E.L. — Nanophysics and nanotechnology: an introduction to modern concepts in nanoscience | 6 | | Billingsley P. — Probability and Measure | 52 | | Uttal W.R., Kakarala R., Dayanand S. — Computational modeling of vision. The role of combination | 47 | | Bratteli O., Robinson D.W. — Operator Algebras and Quantum Statistical Mechanics (vol. 2) | 267, 435 | | Aczel J., Dhombres J. — Functional equations in several variables with applications to mathematics, information theory and to the natural and social sciences | 27, 66, 73 | | Ward S.A. — Computation Structures | 2-3, 33 | | Mehta M.L. — Random Matrices | 61 | | ter Haar D. — Elements of Statistical Mechanics | 232 | | Kotz S., Johnson N.L. — Breakthroughs in Statistics: Volume 1: Foundations and Basic Theory | 2, 242, 438, 462, 601, 614 | | Walley P. — Statistical reasoning with imprecise probabilities | 33 | | Kotz S. — Breakthroughs in Statistics (volume 3) | 333, 340 | | Mitra S., Acharya T. — Data mining. Multimedia, soft computing, and bioinformatics | 92 | | Bellman R.E., Dreyfus S.E. — Applied Dynamic Programming | 264 | | Ehlers J. (ed.) — Relativity theory and astrophysics. 1. Relativity and cosmology | 256, 257 | | Guckenheimer J., Holmes Ph. — Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields, Vol. 42 | 281 | | Barwise J. — The Situation in Logic | xiv, 37, 56, 274 | | Rob P., Coronel C. — Database systems: Design, Implementation, and Management | (see also information systems (IS)) | | Ehlers J. (ed.) — Relativity theory and astrophysics. Relativity and cosmology | 256, 257 | | Bellman R.E. — Some vistas of modern mathematics: Dynamic programming, invariant imbedding, and the mathematical biosciences | 38, 100, 129 | | Berkeley E.C. — Giant Brains Or Machines That Think | 10 | | Amari Sh. — Differential Geometrical Methods in Statistics (Lecture notes in statistics) | 211 | | Shu F.H. — The Physical Universe: An Introduction to Astronomy | see "Entropy", "Order-disorder" | | Ashby W.R. — An introduction to cybernetics | 123, 245 | | Haken H. — Synergetics: an introduction | 41 | | Chase R.B., Jacobs E.R. — Operations management for competitive advantage | 14 | | Hamming R.W. — Art of Probability for Scientists and Engineers | 256 | | Bjorner D. — Software Engineering 3 | 55 | | Gallavotti G. — Foundations of fluid mechanics | 364 | | Myler H.R., Weeks A.R. — Computer imaging recipes in C | 168, 200, 201 | | Ghosh S. — Algorithm design for networked information technology systems | xi, 1, 7, 9 | | Rucker R. — Mind Tools. The Five Levels of Mathematical Reality | 3, 25—27, 29—30, 35, See also "Computer" | | Bouchaud J.-P., Potters M. — Theory of Financial Risks: From Statistical Physics to Risk Management | 27, 112 | | Hristev R.M. — The artificial neural network book | 210 | | Stinson D.R. — Cryptography: Theory and practice | 54 | | Alicki R., Lendi K. — Quantum Dynamical Semigroups And Applications | 95 | | McGuire J.H. — Electron correlation dynamics in atomic collisions | 121 | | Cloud M.J., Drachman B.C. — Inequalities: with applications to engineering | 113, 114 | | Percus J.K. — Mathematics of genome analysis | see also "Entropy" | | Davies P. — The Cosmic Blueprint | 76—77 | | Âîðîéñêèé Ô.Ñ. — Èíôîðìàòèêà. Ýíöèêëîïåäè÷åñêèé ñëîâàðü-ñïðàâî÷íèê: ââåäåíèå â ñîâðåìåííûå èíôîðìàöèîííûå è òåëåêîììóíèêàöèîííûå òåõíîëîãèè â òåðìèíàõ è ôàêòàõ | 15 | | Streater R.F. — Statistical Dynamics: A Stochastic Approach to Nonequilibrium Thermodynamics | 8, 14, 30, 152, 252 | | Bernstein P.L. — Capital Ideas: The Improbable Origins Of Modern Wall Street | 134, 135—138, 200 | | Zeidler E. — Oxford User's Guide to Mathematics | 950 | | Êà÷àëîâà Ê.Í., Èçðàèëåâè÷ Å.Å. — Ïðàêòè÷åñêàÿ ãðàììàòèêà àíãëèéñêîãî ÿçûêà | 14 | | Good I.J. — Information, Weight of Evidence. the Singularity Between Probability Measures and Signal Detection | 8 | | Gossett E. — Discrete Math with Proof | 528, 576 | | Mantegna R.N., Stanley H.E. — An introduction to econophysics: correlations and complexity in finance | 9, 12, 88 | | ter Haar D. — Elements of Statistical Mechanics | 232 | | Davies P. — The New Physics | 341—342, 346, 351—352, 364—365 | | Mackey G. — Unitary Group Representations in Physics, Probability and Number Theory | 284 | | Ward S., Halstead R. — Computation Structures (MIT Electrical Engineering and Computer Science) | 2—3, 33 | | Badii R., Politi A. — Complexity: Hierarchical structures and scaling in physics | 109—118 | | Lindblat G. — Non-equilibrium entropy and irreversibility | 112 | | Rissanen J. — Information and complexity in statistical modeling | VII, 8 | | Adámek J. — Foundations of Coding | 26 | | Voit E. — Computational Analysis of Biochemical Systems: A Practical Guide for Biochemists and Molecular Biologists | 3, 5, 7, 8, 12, 14—18, 25, 27, 39, 41, 42, 44, 47, 60, 68, 79, 83, 94, 99, 107, 119, 124, 128, 129, 139, 144, 145, 158, 159, 171, 179, 184, 206, 210, 216, 231, 260, 262, 268, 285, 295, 301, 307, 315, 317, 323, 327, 328, 335, 337, 338, 343—345, 351, 357, 358, 361, 364, 365, 368, 399, 403, 422, 435 |
|
|
|
|
Î ïðîåêòå