1. Introduction -- 2. Shocking Phenomena in Memristors Beyond the Hodgkin-Huxley Model -- 3. Memristor CNN - Universal Mem-Computing Paradigm -- 4. Mathematical Analysis of Memristor CNN -- 5. Complex Behavior of Niobium Dioxide Memristors -- 6. Assisted VLSI Circuits -- 7. Memristors Hardware Accelerators with Applications in Combinatorial Optimization Problems -- 8. Artificial-Synapse and Neuron Realization with Memristive Devices -- 9. Computing in Memristors: CNN with RAM Arrays -- 10. Memristor-Based RF Circulator -- 11. Computing with Mem-elements: Theory and Applications -- 12. Second-Order Memristors for Neuromorphic Computing -- 13. Pattern Formation with Locally Active S-type NbOx Memristors -- 14. Real Processing in Memory with Memristive Memory Processing Unit -- 15. Memristor Cellular Automata Principles -- 16. Shortest Path Computing with Networks of Memristors -- 17. Cellular Nanoscale Networks with Memristor Synapses Arising in Nanostructures -- 18. Synchronization in Chaotic Electronic Circuits with Memristive Coupling -- 19. Cross-Point Arrays of Resistive Memories -- 20. Memristive Devices and Arrays for Hardware Security Applications -- 21. Analogue Switching in Niobium-Oxide-Based Resistive Switches.

This contributed volume offers practical solutions and design-, modeling-, and implementation-related insights that address current research problems in memristors, memristive devices, and memristor computing. The book studies and addresses related challenges in and proposes solutions for the future of memristor computing. State-of-the-art research on memristor modeling, memristive interconnections, memory circuit architectures, software simulation tools, and applications of memristors in computing are presented. Utilising contributions from numerous experts in the field, written in clear language and illustrated throughout, this book is a comprehensive reference work. Memristor Computing Systems explains memristors and memristive devices in an accessible way for graduate students and researchers with a basic knowledge of electrical and control systems engineering, as well as prompting further research for more experienced academics.