Platzhalterbild fuer Andrea Carpignani

Andrea Carpignani

Andrea Carpignani graduated from the University of Pisa in March 2005, with a dissertation focused on the applications of stochastic calculus to partial differential equations. His academic interests are measure theory and integration, convex and functional analysis, probability, mathematical statistics, and data science. Following four years as a teaching assistant at the University of Pisa, Andrea Carpignani pursued a career in secondary and further education, teaching Mathematics and Physics in the province of Florence. Since relocating to the United Kingdom in 2017, he has taught mathematics at secondary, post-16, and further education levels, undertaking roles including Subject Specialist for Key Stage 5 Mathematics, Head of Mathematics, and currently Key Stage 5 Coordinator at the Radcliffe School in Milton Keynes.


Massimo Pappalardo is a full professor of Operations Research. After graduation “cum laude” in Mathematics at the University of Pisa, he did his Ph.D. in Mathematics. Since 1988, he was first an associate professor and then, a full professor of Operations Research. He has taught in the Faculty of Engineering, in the Faculty of Science and in the Faculty of Economics. He was the director of the Department of Applied Mathematics, President of the degree course in Computer Science and President of the “Academic Quality Control”. In 2023, he was awarded the order of the cherub, the highest honour of the University of Pisa for full professors. His scientific interests lie in optimisation, variational analysis and equilibrium problems both from a theoretical and applicative point of view. He is the author of more than 80 papers in international journals. He wrote two didactical books and a research book in the Springer Operations Research series. 

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Theory and Methods of Optimisation

Andrea Carpignani

Part I. Convex Analysis.- Chapter 1. Convex sets.- Chapter 2. Convex functions.- Part II. Theory of Optimisation.- Chapter 3. Introduction to Mathematical Programming.- Chapter 4. Linear programming.- Chapter 5. Non-linear Programming.- Chapter 6. Lagrangian Duality.- Part III. Methods of Optimisation.- Chapter 7. Algorithms and Their Convergence.- Chapter 8. The Simplex Method.- Chapter 9. Unconstrained Problems.- Chapter 10. Constrained Problems.
Format
E-Book
Erscheinung
13.02.2026
Preis
€64,19
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Cover: Theory and Methods of Optimisation (E-Book) von Andrea Carpignani