Applied Mathematics & Optimization is primarily devoted to publishing papers which treat applied (practical) problems or develop theory for solving problems in applied areas. The practical problems may embrace a wide diversity of areas, such as physical, chemical, biochemical, biomedical, environmental topics, and optimum design, as well as stochastic finance. The theories for solving problems include, in addition to deterministic and stochastic optimization: partial differential equations dealing with applied problems such as turbulence, homogenization; and stochastic differential equations occurring in filtering theory and in biology. The journal features also critical surveys of new advances in theory and application.