Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis

Search for heavy resonances decaying to two Higgs bosons in final states containing four b quarks

A search is presented for narrow heavy resonances X decaying into pairs of Higgs bosons (H) in proton-proton collisions collected by the CMS experiment at the LHC at root s = 8 TeV. The data correspond to an integrated luminosity of 19.7 fb(-1). The search considers HH resonances with masses between 1 and 3 TeV, having final states of two b quark pairs. Each Higgs boson is produced with large momentum, and the hadronization products of the pair of b quarks can usually be reconstructed as single large jets. The background from multijet and t (t) over bar events is significantly reduced by applying requirements related to the flavor of the jet, its mass, and its substructure. The signal would be identified as a peak on top of the dijet invariant mass spectrum of the remaining background events. No evidence is observed for such a signal. Upper limits obtained at 95 confidence level for the product of the production cross section and branching fraction sigma(gg -> X) B(X -> HH -> b (b) over barb (b) over bar) range from 10 to 1.5 fb for the mass of X from 1.15 to 2.0 TeV, significantly extending previous searches. For a warped extra dimension theory with amass scale Lambda(R) = 1 TeV, the data exclude radion scalar masses between 1.15 and 1.55 TeV

Measurement of the top quark mass using charged particles in pp collisions at root s=8 TeV

Peer reviewe

Search for supersymmetry in events with one lepton and multiple jets in proton-proton collisions at root s=13 TeV

Peer reviewe

Program Inversions to Reorder Code

Different languages provide control structures with different kinds of flexibility. For example, CLU iterators and SIMULA classes allow control to be suspended in the middle, to be resumed later. Other languages, like ALPHARD and PASCAL, do not have such a facility. A technique called inversion is presented in some generality. It brings statements inside loops to positions outside those loops. It often possible to invert code that employs one set of control structures to create code that does not make use of those features. Although inversion works when the termination test is not the first step of the loop, statements between the loop entry and the termination test cannot brought outside the loop. Two examples are given to demonstrate inversion: Two programs, in CLU and ALPHARD, that generate all binary trees on n nodes, and two SIMULA programs that generate all partitions the integer n

The Roscoe Operating System

Traditionally, a vade mecum (pronounced ‘‘VAHdee MAYkem’’) is a laboratory manual that guides the student step by step through complex procedures. Operating systems are complex mixtures of policy and mechanism, of algorithm and heuristic, and of theoretical goals and practical experience. This vade mecum tries to unify these diverse points of view and guide the novice step by step through the complexities of the subject. As a text, this book is intended for a first course in operating systems at the undergraduate level. The subject has so many individual parts that its practitioners and teachers often concentrate on subareas and ignore the larger concepts that govern the entire subject. I have tried to rectify that situation in this book by structuring the presentation about the dual ideas of resource management and beautification. To unify disparate threads of discussion, I have taken the liberty introducing names for recurrent themes and glorifying them with the title ‘‘principles.’ ’ I hope that this organization and nomenclature will help the reader to understand the subject better and to integrate new ideas into the same framework. Each technical term that is introduced in the text is printed in boldface the firs