1 / 3

Mixed collection of educational textbooks (calculus, programming, engineering, AI, finance)

AED 700

Julia

3 items live

Item Details

Age

1-2 years

Condition

A bit of wear and tear, but in good working condition

Type

Paperback

Usage

Used only a few times

Posted on: 19th July 2026

Description

I'm selling a mixed collection of educational textbooks. Most are 1–2 years old and have been lightly used, some of them brand new. The price is for whole collection in one lot. Mathematics, probability theory and statistics: Thomas' Calculus — Hass, Heil, Weir Discrete Mathematics with Applications — Susanna S. Epp Linear Algebra — Gilbert Strang Linear Algebra and Its Applications — Lay, Lay, McDonald Vector Analysis (Schaum's Outlines) — Murray R. Spiegel Introduction to Probability Models — Sheldon M. Ross Probability and Random Processes — Geoffrey Grimmett, David Stirzaker Stochastic Differential Equations — Bernt Øksendal Statistical Inference — George Casella, Roger L. Berger A First Course in Probability — Sheldon Ross Probability - 1 и Probability - 2 — Albert N. Shiryaev Mathematical Statistics with Applications — Wackerly, Mendenhall, Scheaffer Bayesian Statistics the Fun Way — Will Kurt Probability and Measure — Patrick Billingsley Practical Statistics for Data Scientists — Peter Bruce, Andrew Bruce, Peter Gedeck Simulation-Based Optimization — Abhijit Gosavi A Complete Solution Guide to Principles of Mathematical Analysis — Kit-Wing Yu Concrete Mathematics — Ronald L. Graham, Donald E. Knuth, Oren Patashnik An Introduction to Measure Theory — Terence Tao Stochastic Calculus for Finance I и Stochastic Calculus for Finance II — Steven E. Shreve Dynamic Programming and Optimal Control (Vol. 1 & 2) — Dimitri P. Bertsekas Programming, architecture and algorithms: Game Programming Patterns — Robert Nystrom C++ Software Design — Klaus Iglberger Game Engine Architecture — Jason Gregory Programming Rust — Jim Blandy, Jason Orendorff, Leonora F. S. Tindall Rust Atomics and Locks — Mara Bos Rust for Rustaceans — Jon Gjengset Introduction to Algorithms — Cormen, Leiserson, Rivest, Stein Multicore and GPU Programming — Gerassimos Barlas The Illustrated Network — Walter Goralski Machine learning and AI: Alice's Adventures in a Differentiable Wonderland — Simone Scardapane Feature Engineering for Machine Learning — Alice Zheng, Amanda Casari Mathematics for Machine Learning — Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong Building Applications with AI Agents Finance, Markets and Trading: Inside the Black Box — Rishi K. Narang Option Volatility & Pricing — Sheldon Natenberg Advanced Positioning, Flow, and Sentiment Analysis in Commodity Markets — Mark Keenan Testing and Tuning Market Trading Systems — Robert Pardo Quantitative Hedge Funds — Richard R. Lindsey, Barry Schachter Portfolio Optimization Practical Portfolio Performance Measurement and Attribution — Carl R. Bacon Analysis of Financial Time Series — Ruey S. Tsay