Mathematics for physics / Michael M. Woolfson, Malcolm S. Woolfson
By: Woolfson, M. M
.
Contributor(s): Woolfson, Malcolm S
.
Publisher: New York : Oxford University Press, 2007Description: xx, 783 p. : ill. ; 25 cm.ISBN: 0199289298 (pbk.); 9780199289295 (pbk.).Subject(s): Mathematical physics![](/opac-tmpl/bootstrap/images/filefind.png)
Item type | Current location | Shelf location | Call number | Copy number | Status | Notes | Date due | Barcode |
---|---|---|---|---|---|---|---|---|
Main Collection | Taylor's Library-TU |
Floor 4, Shelf 16 , Side 1, TierNo 3, BayNo 1 |
530.15 WOO (Browse shelf) | 1 | Available | SOExx,07017,03,GR | 5000067930 |
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530.15 Mathematical methods in science and engineering / | 530.15 PAL Dimensional analysis and intelligent experimentation / | 530.15 PAL 2008 Dimensional analysis and intelligent experimentation / | 530.15 WOO Mathematics for physics / | 530.150285 WAN Physics with MAPLE : | 530.155 BAR 2006 Introductory physics with calculus as a second language / | 530.15563 DAN Vectors and tensors in engineering and physics / |
Includes bibliographical references and index
Preface. - 1 Useful formulae and relationships. - 2 Dimensions and dimensional analysis. - 3 Sequences and series. - 4 Differentiation. - 5 Integration. - 6 Complex numbers. - 7 Ordinary differential equations. - 8 Matrices I and determinants. - 9 Vector algebra. - 10 Conic sections and orbits. - 11 Partial differentiation. - 12 Probability and statistics. - 13 Coordinate systems and multiple integration. - 14 Distributions. - 15 Hyperbolic functions. - 16 Vector analysis. - 17 Fourier analysis. - 18 Introduction to digital signal processing. - 19 Numerical methods for ordinary differential equations. - 20 Applications of partial differential equations. - 21 Quantum mechanics I: Schrödinger wave equation and observations. - 22 The Maxwell-Boltzmann distribution. - 23 The Monte Carlo method. - 24 Matrices II. - 25 Quantum mechanics II: Angular momentum and spin. - 26 Sampling theory. - 27 Straight-line relationships and the linear correlation coefficient. - 28 Interpolation. - 29 Quadrature. - 30 Linear equations. - 31 Numerical solution of equations. - 32 Signals and noise. - 33 Digital filters. - 34 Introduction to estimation theory. - 35 Linear programming and optimiza. - 36 Laplace transforms. - 37 Networks. - 38 Simulation with particles. - 39 Chaos and physical calculations. - Appendix 1 Table of integrals. - Appendix 2 Inverse Fourier transform. Appendix 3 Fourier transform of a sampled signal. - Appendix 4 Derivation of the discrete and inverse discrete Fourier transforms. - Appendix 5 Program OSCILLAT. - Appendix 6 Program EXPLICIT. - Appendix 7 Program HEATCRNI. - Appendix 8 Program SIMPLATE. - Appendix 9 Program STRING. - Appendix 10 Program DRUM. - Appendix 11 Program SHOOT. - Appendix 12 Program DRUNKARD. - Appendix 13 Program POLYMER. - Appendix 14 Program METROPOLIS. - Appendix 15 Program REACTOR. - Appendix 16 Program LESLIE. - Appendix 17 Eigenvalues and eigenvectors of Hermitian matrices. - Appendix 18 Distance of a point from a line. - Appendix 19 Program MULGAUSS. - Appendix 20 Program MCINT. - Appendix 21 Program GS. - Appendix 22 Second moments for uniform and Gaussian noise. -Appendix 23 Convolution theorem. - Appendix 24 Output from a filter when the input is a cosine. - Appendix 25 Program GRADMAX. - Appendix 26 Program NETWORK. - Appendix 27 Program GRAVBODY. - Appendix 28 Program ELECLENS. - Appendix 29 Program CLUSTER. - Appendix 30 Program FLUIDYN. - Appendix 31 Condition for collisionless PIC. - Appendix 32 Program PLASMA1. - References and further reading. - Solutions to exercises and problems. - Index.