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Numerical Methods (MMath)
MMath book lists:
00: General Mathematics *
01: History of Mathematics *
03: Logic and Set Theory *
05: Combinatorics and Graph Theory *
06: Order and Lattices
08: General Algebra *
11: Number Theory *
12: Field Theory
13: Commutative Algebra
14: Algebraic Geometry *
15: Linear Algebra *
16: Noncommutative Rings
17: Lie Algebras
18: Category Theory *
19: K-Theory
20: Group Theory *
22: Lie Groups *
26: Real Analysis *
28: Measure and Integration *
30: Complex Analysis *
31: Potential Theory
32: Several Complex Variables
33: Special Functions
34: Ordinary Differential Equations
35: Partial Differential Equations *
37: Dynamical Systems and Ergodic Theory
39: Difference Equations
40: Sequences and Series
41: Approximation Theory
42: Harmonic Analysis *
43: Abstract Harmonic Analysis
44: Integral Transforms
45: Integral Equations
46: Functional Analysis *
47: Operator Theory
49: Calculus of Variations and Optimal Control
51: Geometry *
52: Convex Geometry and Discrete Geometry
53: Differential Geometry *
54: General Topology *
55: Algebraic Topology *
57: Manifolds and Cell Complexes
58: Analysis on Manifolds *
60: Probability and Stochastic Processes *
62: Statistics and Statistical Learning *
65: Numerical Methods *
68: Theoretical Computer Science *
70: Classical Mechanics *
74: Mechanics of Deformable Solids
76: Fluid Dynamics
78: Electrodynamics
80: Thermal Physics
81: Quantum Physics *
82: Statistical Physics *
83: Relativity and Gravitation *
85: Astrophysics
86: Geophysics
90: Operational Research
91: Game Theory, Economics, Finance
92: Mathematical Biology
93: Control and Systems Theory
94: Information Theory and Communication *
97: Mathematics Education *
* indicates a significant topic in undergraduate mathematics
MSC2020 mathematics subject classifications:
https://mathscinet.ams.org/mathscinet...
00: General Mathematics *
01: History of Mathematics *
03: Logic and Set Theory *
05: Combinatorics and Graph Theory *
06: Order and Lattices
08: General Algebra *
11: Number Theory *
12: Field Theory
13: Commutative Algebra
14: Algebraic Geometry *
15: Linear Algebra *
16: Noncommutative Rings
17: Lie Algebras
18: Category Theory *
19: K-Theory
20: Group Theory *
22: Lie Groups *
26: Real Analysis *
28: Measure and Integration *
30: Complex Analysis *
31: Potential Theory
32: Several Complex Variables
33: Special Functions
34: Ordinary Differential Equations
35: Partial Differential Equations *
37: Dynamical Systems and Ergodic Theory
39: Difference Equations
40: Sequences and Series
41: Approximation Theory
42: Harmonic Analysis *
43: Abstract Harmonic Analysis
44: Integral Transforms
45: Integral Equations
46: Functional Analysis *
47: Operator Theory
49: Calculus of Variations and Optimal Control
51: Geometry *
52: Convex Geometry and Discrete Geometry
53: Differential Geometry *
54: General Topology *
55: Algebraic Topology *
57: Manifolds and Cell Complexes
58: Analysis on Manifolds *
60: Probability and Stochastic Processes *
62: Statistics and Statistical Learning *
65: Numerical Methods *
68: Theoretical Computer Science *
70: Classical Mechanics *
74: Mechanics of Deformable Solids
76: Fluid Dynamics
78: Electrodynamics
80: Thermal Physics
81: Quantum Physics *
82: Statistical Physics *
83: Relativity and Gravitation *
85: Astrophysics
86: Geophysics
90: Operational Research
91: Game Theory, Economics, Finance
92: Mathematical Biology
93: Control and Systems Theory
94: Information Theory and Communication *
97: Mathematics Education *
* indicates a significant topic in undergraduate mathematics
MSC2020 mathematics subject classifications:
https://mathscinet.ams.org/mathscinet...
Score
A book’s total score is based on multiple factors, including the number of people who have voted for it and how highly those voters ranked the book.
| 1 |
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Numerical Recipes: The Art of Scientific Computing
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4.32 avg rating — 158 ratings
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| 2 |
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Matrix Computations (Johns Hopkins Studies in the Mathematical Sciences, 3)
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4.26 avg rating — 149 ratings
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4 people voted
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| 3 |
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Numerical Analysis
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3.77 avg rating — 233 ratings
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| 3 |
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Computational Geometry: Algorithms and Applications
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4.17 avg rating — 168 ratings
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| 3 |
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Numerical Linear Algebra
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4.28 avg rating — 148 ratings
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| 6 |
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Numerical Optimization (Springer Series in Operations Research and Financial Engineering)
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4.34 avg rating — 134 ratings
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| 7 |
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Advanced Mathematical Methods for Scientists and Engineers I: Asymptotic Methods and Perturbation Theory
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4.39 avg rating — 49 ratings
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| 8 |
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Topics in Matrix Analysis
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4.35 avg rating — 17 ratings
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| 9 |
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Theoretical Numerical Analysis: A Functional Analysis Framework (Texts in Applied Mathematics, 39)
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4.30 avg rating — 20 ratings
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| 10 |
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Applications of Lie Groups to Differential Equations
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4.29 avg rating — 17 ratings
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| 11 |
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Introduction to Numerical Linear Algebra and Optimisation (Cambridge Texts in Applied Mathematics, Series Number 4)
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4.50 avg rating — 12 ratings
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| 12 |
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Numerical Analysis for Statisticians
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4.50 avg rating — 6 ratings
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| 13 |
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The Numerical Solution of Integral Equations of the Second Kind (Cambridge Monographs on Applied and Computational Mathematics, Series Number 4)
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4.50 avg rating — 6 ratings
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3 people voted
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| 14 |
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Iterative Krylov Methods for Large Linear Systems (Cambridge Monographs on Applied and Computational Mathematics, Series Number 13)
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4.14 avg rating — 7 ratings
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| 15 |
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Numerical Analysis
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4.17 avg rating — 6 ratings
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3 people voted
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| 16 |
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Matrix Analysis
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4.36 avg rating — 59 ratings
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3 people voted
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| 17 |
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A Student's Guide to Numerical Methods
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4.40 avg rating — 5 ratings
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| 18 |
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The Theory of Composites (Cambridge Monographs on Applied and Computational Mathematics, Series Number 6)
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it was amazing 5.00 avg rating — 3 ratings
score: 219,
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| 19 |
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Spectral Methods for Time-Dependent Problems
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4.71 avg rating — 7 ratings
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| 20 |
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Numerical Methods in Matrix Computations
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4.40 avg rating — 5 ratings
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| 21 |
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Practical Extrapolation Methods: Theory and Applications (Cambridge Monographs on Applied and Computational Mathematics, Series Number 10)
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4.25 avg rating — 4 ratings
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| 22 |
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Greedy Approximation (Cambridge Monographs on Applied and Computational Mathematics, Series Number 20)
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4.67 avg rating — 3 ratings
score: 205,
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3 people voted
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| 23 |
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Methods of Numerical Integration
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| 24 |
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Scattered Data Approximation (Cambridge Monographs on Applied and Computational Mathematics, Series Number 17)
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| 25 |
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Approximation Algorithms
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4.20 avg rating — 56 ratings
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| 26 |
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Matrix analysis and applied linear algebra
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4.30 avg rating — 57 ratings
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| 27 |
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Numerical Analysis
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4.21 avg rating — 48 ratings
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| 28 |
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An Introduction to Numerical Analysis
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3.93 avg rating — 28 ratings
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| 29 |
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A First Course in the Numerical Analysis of Differential Equations (Cambridge Texts in Applied Mathematics, Series Number 15)
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3.95 avg rating — 22 ratings
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| 30 |
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Theory of Point Estimation
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3.87 avg rating — 23 ratings
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| 31 |
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Numerical Methods
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4.06 avg rating — 18 ratings
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| 32 |
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Matrix Algebra: Theory, Computations, and Applications in Statistics
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4.06 avg rating — 16 ratings
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| 33 |
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Fundamentals of Matrix Computations
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4.05 avg rating — 19 ratings
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| 34 |
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Computational Geometry: An Introduction (Monographs in Computer Science)
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4.10 avg rating — 20 ratings
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| 35 |
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Applied Linear Algebra and Matrix Analysis
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3.95 avg rating — 20 ratings
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| 36 |
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Iterative Methods for Sparse Linear Systems
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4.12 avg rating — 16 ratings
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| 37 |
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Introduction to Numerical Analysis
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4.13 avg rating — 15 ratings
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| 38 |
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Numerical Methods that Work
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4.18 avg rating — 11 ratings
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| 39 |
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Numerical Solution of Stochastic Differential Equations (Stochastic Modelling and Applied Probability, 23)
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3.92 avg rating — 12 ratings
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| 40 |
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Perturbation Methods (Cambridge Texts in Applied Mathematics, Series Number 6)
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| 41 |
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Numerical Linear Algebra: An Introduction (Cambridge Texts in Applied Mathematics, Series Number 56)
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3.62 avg rating — 8 ratings
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| 42 |
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Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods (Miscellaneous Titles in Applied Mathematics Series No 43)
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3.60 avg rating — 5 ratings
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| 43 |
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LAPACK Users' Guide
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3.60 avg rating — 5 ratings
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| 44 |
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Geometry and Topology for Mesh Generation (Cambridge Monographs on Applied and Computational Mathematics, Series Number 7)
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| 45 |
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Numerical Methods of Statistics (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 7)
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| 46 |
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Numerical Methods in Physics with Python
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| 47 |
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Direct Methods for Sparse Linear Systems (Fundamentals of Algorithms, Series Number 2)
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| 48 |
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A Practical Guide to Pseudospectral Methods (Cambridge Monographs on Applied and Computational Mathematics, Series Number 1)
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| 49 |
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Simulating Hamiltonian Dynamics (Cambridge Monographs on Applied and Computational Mathematics, Series Number 14)
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| 50 |
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Templates for the Solution of Algebraic Eigenvalue Problems: A Practical Guide (Software, Environments and Tools, Series Number 11)
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| 51 |
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Matrix Analysis
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4.36 avg rating — 59 ratings
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| 52 |
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An Introduction to Numerical Analysis
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3.38 avg rating — 24 ratings
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