Partial Differential Equations for Engineers With Python: Analytical Methods, Numerical Solvers, and Python Implementations (Computational Mathematics Library)

Partial Differential Equations: Theorems, Proofs, and Python Implementations (Computational Mathematics Library)

Numerical Linear Algebra: Theorems, Proofs, and Python Implementations (Computational Mathematics Library)

Majosta

Finite Volume Methods: Theorems, Proofs, and Python Implementations (Computational Mathematics Library)

The Mathematics of Plasma Etching and Deposition: Kinetic Theory, Nonlinear PDEs, and Control for Semiconductor Manufacturing in Python (Computational Mathematics Library)

High-Dimensional Probability With Engineering Applications: Theory, Examples, and Python Implementations (Computational Mathematics Library)

Python-based Machine Learning: Mathematical Analysis and Prediction

The Mathematics of EUV Lithography: PDEs, Stochastic Optics, and Variational Inverse Problems for Semiconductor Manufacturing In Python (Computational Mathematics Library)

The Mathematics of EUV Lithography: PDEs, Stochastic Optics, and Variational Inverse Problems for Semiconductor Manufacturing In Python (Computational Mathematics Library)

Python Applications in Chemical Engineering:: Process Simulation, Optimization, and Data Analysis

Next-Generation Scientific Computing with Python and AI: Surrogate Modeling, PINNs, RL Control, and Hybrid Solvers for Modern Engineering

Optimal Transport With Engineering Applications: Theory, Examples, and Python Implementations (Computational Mathematics Library)

Geometry for Machine Learning With Engineering Applications: Theory, Examples, and Python Implementations (Computational Mathematics Library)

Geometry for Machine Learning With Engineering Applications: Theory, Examples, and Python Implementations (Computational Mathematics Library)

Convex & Large-Scale Optimization: Theorems, Proofs, and Python Implementations (Computational Mathematics Library)

Mathematical Foundations of Photonics: Theorems, Proofs, and Python Implementations (Computational Mathematics Library)

Mathematical Foundations of Photonics: Theorems, Proofs, and Python Implementations (Computational Mathematics Library)

Signal Processing: Theorems, Proofs, and Python Implementations (Computational Mathematics Library)

An Introduction to Partial Differential Equations with MATLAB (Advances in Applied Mathematics)

Chapman and Hall/CRC

P vs NP in Python

Differential Equations in Fortran: Solving ODEs and PDEs (Golden Dawn Engineering)

Practical Python Programming: Concepts, Codes and Solutions

P vs NP in Python: Complete Handbook

Introduction to Python for Physics: An overview of how Python can be used in physics.: Physics data analysis, simulation, and visualization.

Numerical and Engineering Analysis: Computer-Aided Design by Python (Computing)