We develop new efficient algorithms for a class of inverse problems gravimetry to recover an anomalous volume mass distribution (measure) in the sense that we design fast local level-set methods simultaneously reconstruct both unknown domain and varying density measure from modulus gravity force rather than itself. The equivalent-source principle gravitational poten...

in this research, the framework is presented for unsupervised change detection using multitemporal sar images based on integration clustering and level set methods. spatial correlation between pixels were considered by using contextual information. also as proposed method was used integration of gustafson-kessel clustering techniques (gkc) and level set methods for change detection. using clust...

Due to the favorable performance of structural topology optimization to create a proper understanding in the early stages of design, this issue is taken into consideration from the standpoint of research or industrial application in recent decades. Over the last three decades, several methods have been proposed for topology optimization. One of the methods that has been effectively used in stru...