| Книга | Страницы для поиска |
| Кормен Т., Лейзерсон Ч., Ривест Р. — Алгоритмы: построение и анализ | 933, 938 |
| Кормен Т., Лейзерсон Ч., Ривест Р. — Алгоритмы: построение и анализ | 719, 721, 723 |
| Сергиенко А.Б. — Цифровая обработка сигналов | 251 |
| Taylor M.E. — Partial Differential Equations. Basic theory (vol. 1) | 251 |
| Ito K. — Encyclopedic Dictionary of Mathematics. Vol. 2 | 142.D |
| Felinger A. — Data analysis and signal processing in chromatography | 37 |
| Wesseling P. — An introduction to multigrid methods | 98, 103 |
| Enns R.H., Mc Guire G.C. — Nonlinear physics with mathematica for scientists and engineers | 319 |
| Conte S.D., de Boor C. — Elementary numerical analysis - an algorithmic approach | 278 |
| Meyer C.D. — Matrix analysis and applied linear algebra | 356, 358 |
| Bini D., Pan V.Y. — Polynomial and matrix computations. Fundamental algorithms. Vol.1 | 9 |
| Benson D. — Mathematics and music | 237 |
| Wegener I. — Complexity of Boolean Functions | 63 |
| Carmona R. — Practical Time-Frequency Analysis | 48 |
| Chui C.K., Chan A.K., Liu C.S. — Wavelet Toolware: Software for Wavelet Training | 35 |
| Gershenfeld N. — The Nature of Mathematical Modelling-Neil Gershenfeld | 129 |
| Atkinson K.E., Han W. — Theoretical Numerical Analysis: A Functional Analysis Framework | 181 |
| Peiponen K.-E., Vartiainen E.M., Asakura T. — Dispersion, complex analysis and optical spectroscopy. Classical theory | 75, 85 |
| Batchelor B.G., Whelan P.F. — Intelligent vision systems for industry | 53 |
| Dudgeon D.E., Mersereau R.M. — Multidimensional Digital Signal Processing | 60—106, 310—311, 369, 381 |
| Ito K. — Encyclopedic Dictionary of Mathematics | 142.D |
| Jahne B. — Digital Image Processing | 43, 116 |
| Farrelle P.M. — Recursive Block Coding for Image Data Compression | 3 |
| Gallier J. — Geometric Methods and Applications: For Computer Science and Engineering | 303 |
| Greenberg M.D. — Advanced engineering mathematics | 931 |
| Berndt B.C., Evans R.J., Williams K.S. — Gauss and Jacobi Sums | 47, 01—52 |
| Bachman G., Beckenstein E. — Fourier And Wavelet Analysis | 385, 391 |
| Borwein J.M., Borwein P.B. — Pi and the AGM: A Study in Analytic Number Theory and Computational Complexity | 204 |
| Knuth D.E. — The art of computer programming (Vol. 2. Seminumerical algorithms) | 290—294, 300, 482—484, 487, 494, 497, 502—503 |
| Goswami J.C., Chan A.K. — Fundamentals of Wavelets : Theory, Algorithms, and Applications | 54 |
| Natterer F. — The Mathematics of Computerized Tomography (Classics in Applied Mathematics) | 206 |
| Pope S.B. — Turbulent Flows | 345, 571, 692-695 |
| Goodman J.W. — Introduction to Fourier Optics | 355 |
| Hanna J.R., Rowland J.H. — Fourier Series, Transforms, and Boundary Value Problems | 197—203 |
| Asmar N.H. — Partial Differential Equations with fourier series and boundary value problems | 559 |
| Kozen D.C. — The Design And Analysis Of Algorithms | (see Fourier transform) |
| Bayfield J.E. — Quantum Evolution: An Introduction to Time-Dependent Quantum Mechanics | 327 — 328 |
| Petrou M., Sevilla P.G. — Image Processing: Dealing with Texture | 133 |
| Antia H.M. — Numerical Methods for Scientists and Engineers | 14, 414—428, 684, 857, 859 |
| Olver P.J., Shakiban C. — Applied linear. algebra | 210, 281, 287 |
| Seul M., O'Gorman L., Sammon M.J. — Practical algorithms for image analysis. Description, examples, and code | 249 |
| Sewell G. — Computational Methods of Linear Algebra | 182 |
| Crane R. — A simplified approach to image processing. Classical and modern techniques in C | 178—180, 181 |
| Goodman J.W. — Statistical Optics | 494 |
| Bow S.-T. — Pattern recognition and image preprocessing | 401, 403, 422, 441—447 |
| Steeb W.-H. — Problems and Solutions in theoretical and mathematical physics. Volume 1. Introductory level | 19, 121 |
| Pavičić M. — Quantum Computation and Quantum Communication: Theory and Experiments | 173 |
| Carl D. Meyer — Matrix Analysis and Applied Linear Algebra Book and Solutions Manual | 356, 358 |
| Hughes B.D. — Random walks and random enviroments (Vol. 1. Random walks) | 40 |
| Mullin T. — The nature of chaos | 26 |
| Theodoridis S., Koutroumbas K. — Pattern recognition | 226 |
| Rabiner L.R., Schafer R.W. — Digital Processing of Speech Signals | 16—18 |
| Cox D.A., Little J., O'Shea D. — Using Algebraic Geometry | 433 |
| Marks R.J.II. — The Joy of Fourier | 10, 56 |
| Budinger Th. — Mathematics and Physics of Emerging Biomedical Imaging | 40 |
| Leuchs G., Beth T. (eds.) — Quantum Information Processing | 1, 2 |
| Petrou M., Bosdogianni P. — Image processing: the fundamentals | 63—86 |
| Yoo T.S. (ed.) — Insight into Images: Principles and Practice for Segmentation, Registration, and Image Analysis | 44 |
| Weaver H.J. — Applications of discrete and continous Fourier analysis | 91, 92 |
| Goswami J., Chan A. — Fundamentals of Wavelets. Theory, Algorithms, and Applications | 54 |
| Mehta M.L. — Matrix theory | 127—133, 326 |
| Leeuwen J. (ed.), Meyer A.R., Nivat M. — Algorithms and Complexity, Volume A | 660,863,864 (see also Fast Fourier Transform) |
| Hobbie R., Roth B. — Intermediate Physics for Medicine and Biology, | 291 |
| Taflove A. — Computational Electrodynamics The Finite-Difference Time-Domain Method | 210 |
| Strang G. — Introduction to Applied Mathematics | 448, 456, 463 |
| Berman G.P., Doolen G.D., Mainieri R. — Intnoduction to Quantum Computers | 6, 25, 118 |
| Osche G.R. — Optical detection theory for laser applications | 285 |
| Natterer F., Wubbeling F. — Mathematical methods in image reconstruction | 8 |
| D.E. Newland — An Introduction to Random Vibration, Spectral and Wavelet Analysis | 114 |
| Lions J-L., Dautray R. — Mathematical Analysis and Numerical Methods for Science and Technology: Volume 2: Functional and Variational Methods | 59 |
| Maddala G.S. (ed.), Rao C.R. (ed.) — Robust Inference | 272 |
| Burgisser P., Clausen M., Shokrollahi M.A. — Algebraic complexity theory | see "DFT" |
| Сергиенко А.Б. — Цифровая обработка сигналов. Учебник для вузов. | 251 |
| Moeller K. — Optics: Learning by Computing, with Examples Using Maple, MathCad®, Matlab®, Mathematica®, and Maple® (Undergraduate Texts in Contemporary Physics) | 366 |
| Golan J.S. — The Linear Algebra a Beginning Graduate Student Ought to Know (Texts in the Mathematical Sciences) | 136, 308 |
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