Book recommendations

Following a student suggestion to the Library Committee the Mathematical Library we will occasionally exhibit a book, recommended by a faculty member.

The book should ideally be readable for a beginning masters student, and the recommendation will be written in English.

Boganbefaling Mancinska

Laura Mančinska recommending

"Quantum Computation and Quantum Information"

by Michael A. Nielsen and Isaac L. Chuang

Information Theory, Inference, and Learning Algorithms

Jonas Peters recommending

"Information Theory, Inference, and Learning Algorithms"

by David J.C. Mackay

A course in large sample theory

Mathias Drton recommending

"A course in large sample theory"

By Thomas S. Ferguson

Nathalie Wahl recommending

"Topology from the Differentiable Viewpoint"

by John W. Milnor

Christian Ulrik Jensen recommending 

"The New Book of Prime Number Records"
by Paulo Ribenboim

Steffen Lauritzen recommending 

"Convex Optimization"
by Stephen Boyd and Lieven Vandenberghe

Morten S. Risager recommending 

"Introduction to Analytic Number Theory"
by Tom M. Apostol

The Elements of Statistical Learning

Niels Richard Hansen recommending
The Elements of Statistical Learning
- Data mining, Inference and Prediction

by Trevor Hastie, Robert Tibshirani and Jerome Friedman

Søren Eilers recommending 

“Real and complex analysis”
y Walter Rudin