Optomagnonic structures : novel architectures for simultaneous control of light and spin waves Tailoring the interaction of light with magnetization in stratified nanostructures P.A. Pantazopoulos and N. Stefanou Magnonics and confinement of light in photonic magnonic crystals J.W.K los I.L. Lyubchanskii M. Krawczyk P. Gruszecki S. Mieszczak J. Rych ly Y.S. Dadoenkova and N.N. Dadoenkova Tunable generation of spin waves by ultrashort optical pulses in magnetic dielectric thin films A.I. Chernov M.A. Kozhaev and V.I. Belotelov Inelastic scattering of light by spin waves M. Benjamin Jungfleisch Driving magnons with microwave photons Guo Qiang Zhang Yi Pu Wang and J.Q. You Spherical optomagnonic resonators E. Almpanis G.P. Zouros and N. Papanikolaou Cavity optomagnonics Silvia Viola Kusminskiy. Understanding controlling and more importantly enhancing the interaction between light (photons) and spin waves (magnons) can be among others a step towards the realization of magnon mediated microwave to optical transducers for quantum computing applications or hybrid solid state spintronic photonic interconnections. In this respect the development of novel composite multifunctional micro nanostructures so called optomagnonic which simultaneously control optical and spin waves and enhance their interaction is particularly attractive. This book constitutes a collective work comprising seven chapters from leading researchers in the field of optomagnonics and related areas. Apart from exciting recent developments it provides the necessary fundamental knowledge in an explanatory manner and therefore it is accessible to non experts. It is suitable for PhD students post docs and researchers who are willing to get engaged in optomagnonics while selected parts could also serve as lecture material for advanced courses. With increasing demand for miniaturized optomagnonic devices this book will be an important resource to researchers working on optomagnonics magneto optics spintronics as well as on hybrid micro nano devices for information processing