Discrete Mathematics and Applications

Optimization Theory and Methods: Nonlinear Programming

Mathematics for the Physical Sciences

Turnpike Theory for the Robinson–Solow–Srinivasan Model

Nonlinear Analysis and Global Optimization

A Friendly Introduction to Differential Equations

Harmonic Analysis and Applications

Advanced Abacus: Theory and Practice

Dynamics of Disasters: Impact, Risk, Resilience, and Solutions

Black Box Optimization, Machine Learning, and No-Free Lunch Theorems

Ramanujan's Lost Notebook: Part I, Part 1

Applied and Computational Optimal Control: A Control Parametrization Approach

Introduction to Continuous Optimization

Random Differential Equations in Scientific Computing

Nonlinear Analysis, Differential Equations, and Applications

CALCULUS: differential calculus and integrals calculus for jee mains and advanced

Synthetic Data for Deep Learning

Combinatorial, Linear, Integer and Nonlinear Optimization Apps: COLINA Grande

Number Theory: An Introduction to Mathematics: Part A, Part 1

Advances in Matrix Inequalities