Computational Science related material

General Resources

• Steve Brunton
• Modeling Languages
• Potsdam Earth System Analysis

1. Computational Science and Engineering
2. Feedback Systems
3. Signals and Systems
4. Dynamics and control
5. Control Systems
6. DP and Optimal Control
7. Reinforcement learning
8. awesome-control-theory
9. Math cheatsheets
10. awesome-scientific-computing
11. Planning Algorithms
    • Path Planning
    • Motion Planning
    • rrt-algorithms
    • More Motion Planning
    • Multi Agent Path Planning
    • Python Robotics
12. Data Driven Dynamics and Control
13. Dynamic Optimization
14. Handbook of Engineering Statistics
15. numerical-linear-algebra
16. Computational Science And Engineering I
17. Engineering Statistics Handbook

Related Concepts

• Mathematical Modeling
• Engineering Portal

1. Applied mathematics
2. Computational Complexity Theory
3. Computability Theory
4. Theory of Computation
5. Computational problems
6. List of Complexity Classes
7. Algorithms
8. Approximation Theory
9. Approximation Algorithms
10. Numerical Analysis
11. Artificial Neural Networks
12. Neural Network Architectures
13. Types of Neural Networks
14. Combinatorial algorithms
15. Data structures
16. Theoretical Computer Science

Relevant CS Classes

• Tim Roughgarden Lectures
• Stanford Computer Science Course Graph

1. Foundations of Computer Science University of Toronto
2. Introduction to Computer Science
3. Algorithm Design Manual
4. Data Modeling Essentials
5. Design of Algorithms
6. MIT 18.404J Theory of Computation, Fall 2020 Course Website
7. Algorithm Design and Analysis: Biologically Inspired Algorithms
8. Evolutionary Algorithms (EAs)
9. MIT 6.006 Introduction to Algorithms, Spring 2020
10. Computational Thinking
11. How To Design Programs
12. Discrete Math (Full Course: Sets, Logic, Proofs, Probability, Graph Theory, etc)
13. Computational Complexity - NPTEL
14. MIT 18.404J Theory of Computation, Fall 2020
15. Undergrad Complexity Theory at CMU
16. Complexity Theory I - Easy Theory
17. Computational Complexity Lectures

Libraries

1. ndlib
2. networkx
3. netpy
4. numerical linear algebra
5. netomaton: discrete systems
6. Linear Algebra with Python
7. Path-Planning-Simulator
8. awesome-robotics
9. multi_agent_path_planning
10. PythonRobotics
11. PathPlanning
12. pysteps
13. synthetic
14. PatternOmatic
15. RobustArchitectureSearch
16. EvoOpt
17. evolutionary-algorithms
18. LEAP
19. geatpy
20. Solid
21. GeneticAlgorithmPython
22. Grokking-Artificial-Intelligence-Algorithms
23. BluePyOpt
24. zoofs
25. Sklearn-genetic-opt
26. Evolutionary-Algorithm
27. python-algorithms-and-simulations
28. netomaton
29. rule-30-and-game-of-life
30. seagull
31. Growing-Neural-Cellular-Automata
32. Lenia
33. cellpylib
34. life-101
35. numba
36. gca
37. Discrete Optimization
38. pyswarms
39. Solid (optimization)
40. Intro to Numerical Methods
41. simupy
42. Numerical Analysis Python
43. Simulation and Modeling of Natural Processes
44. Computers Waves and Simulations
45. agentpy
46. Mesa
47. Particle Life Simulation
48. Swarm Algorithms
49. swarmlib
50. Deepswarm
51. NiaPy
52. FireFlyAlgorithm
53. Ant Colony Traveling Salesman
54. Self Organizing Bots
55. MTSP_ACO
56. Python Boids
57. Glowworm Swarm Optimisation
58. Gradient Free Optmizers
59. MealPY
60. Particle Swarm Optimization
61. MetaheuristicOptimization
62. Evolutionary Optimization
63. Swarm Package
64. Paths and Temporal Networks