Projection methods in conic optimization

There exist efficient algorithms to project a point onto the intersection of a convex cone and an affine subspace. Those conic projections are in turn the work-horse of a range of algorithms in conic optimization, having a variety of applications in science, finance and engineering. This chapter reviews some of these algorithms, emphasizing the so-called regularization algorithms for linear conic optimization, and applications in polynomial optimization. This is a presentation of the material of several recent research articles; we aim here at clarifying the ideas, presenting them in a general framework, and pointing out important techniques

The Privatization of Metropolitan Jakarta's (Jabodetabek) Urban Fringes:The Early Stages of "Post-Suburbanization" in Indonesia

Problem, research strategy, and findings: Recent metropolitan development in developed countries is associated with post-suburbia, or a decline in population in the former central city and the growth of polycentric structures outside the traditional core. Current urban development in Asian cities, particularly in the Jakarta metropolitan region (Jabodetabek), also reflects an early stage of post-suburbia. We examine physical development patterns and the changing role of public and private sectors, although our approach is descriptive in nature. The rapid growth in fringe areas that have developed from dormitory communities into independent towns, triggered by privatization of industrial estates and multifunction new towns, shows typical post-suburban patterns. The national government's pro-growth economic policies and the local autonomy granted to local governments have given the private sector the power to largely control the acquisition, development, and management of land in fringe areas, accelerating post-suburban development patterns.Takeaway for practice: Planners in developing nations must be alert to the rapidly increasing role of the private sector, recognizing how the private sector can help the government to respond to regional needs for housing, jobs, shopping and educational opportunities, and infrastructure while understanding the key role that planning can and should play in ensuring private sector actions do not exacerbate regional problems and lead to uncoordinated public responses

A review of applying second-generation wavelets for noise removal from remote sensing data.

The processing of remotely sensed data includes compression, noise reduction, classification, feature extraction, change detection and any improvement associated with the problems at hand. In the literature, wavelet methods have been widely used for analysing remote sensing images and signals. The second-generation of wavelets, which is designed based on a method called the lifting scheme, is almost a new version of wavelets, and its application in the remote sensing field is fresh. Although first-generation wavelets have been proven to offer effective techniques for processing remotely sensed data, second-generation wavelets are more efficient in some respects, as will be discussed later. The aim of this review paper is to examine all existing studies in the literature related to applying second-generation wavelets for denoising remote sensing data. However, to make a better understanding of the application of wavelet-based denoising methods for remote sensing data, some studies that apply first-generation wavelets are also presented. In the part of hyperspectral data, there is a focus on noise removal from vegetation spectrum