Applied Math


Introduction
to Probability

Fundamentals of Applied
Probability Theory

A First Course
in Probability

Mathematics for
Computer Science

Mathematics and
Plausible Reasoning

Nonlinear
Programming

Convex
Optimization

Convex Optimization
Theory

Convex
Analysis

Convex Analysis
and Optimization

Linear Algebra and
Its Applications

Probability, Random Variables
and Stochastic Processes

Probability and
Random Processes

Probability
with Martingales

Measure Theory
and Probability

Sequential Monte Carlo
Methods in Practice

Linear
Estimation

Graphical
Models

Beyond the
Kalman Filter

Introduction to
Linear Algebra

Advanced Mean
Field Methods

An Introduction to
Probability Theory

Ideals, Varieties,
and Algorithms


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