The task of quantizing general relativity raises serious questions about the meaning of the present formulation and interpretation of quantum mechanics when applied to so fundamental a structure as the space-time geometry itself. This paper seeks to clarify the foundations of quantum mechanics. It presents a reformulation of quantum theory in a form believed suitable for application to general relativity. The aim is not to deny or contradict the conventional formulation of quantum theory, which has demonstrated its usefulness in an overwhelming variety of problems, but rather to supply a new, more general and complete formulation, from which the conventional interpretation can be deduced. The relationship of this new formulation to the older formulation is therefore that of a metatheory to a theory, that is, it is an underlying theory in which the nature and consistency, as well as the realm of applicability, of the older theory can be investigated and clarified.

"relative State" Formulation of Quantum Mechanics

Simulation and the monte carlo method

Aircraft wings are a compromise that allows the aircraft to fly at a range of flight conditions, but the performance at each condition is sub-optimal. The ability of a wing surface to change its geometry during flight has interested researchers and designers over the years as this reduces the design compromises required. Morphing is the short form for metamorphose; however, there is neither an exact definition nor an agreement between the researchers about the type or the extent of the geometrical changes necessary to qualify an aircraft for the title ‘shape morphing.’ Geometrical parameters that can be affected by morphing solutions can be categorized into: planform alteration (span, sweep, and chord), out-of-plane transformation (twist, dihedral/gull, and span-wise bending), and airfoil adjustment (camber and thickness). Changing the wing shape or geometry is not new. Historically, morphing solutions always led to penalties in terms of cost, complexity, or weight, although in certain circumstances, thes...

A Review of Morphing Aircraft

MES (multi-energy systems): An overview of concepts and evaluation models

SPECO: A systematic and general methodology for calculating efficiencies and costs in thermal systems

CGAM Problem: Definition and Conventional Solution

Application of Engineering Functional Analysis to the Analysis and Optimization of the CGAM Problem

The optimization of energy systems is of crucial importance for a rational use of natural and economic resources and for minimizing their adverse effects on the environment. Optimizing such systems may be considered at three levels: synthesis (configuration), design (component characteristics), and operation. The first two of these levels are ex-amined in this article. After a discussion on the uniqueness of the solution and the pos-sibility of finding this solution, the principal approaches and methods for solving the optimization problem are described in brief.

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A Brief Review of Methods for the Design and Synthesis Optimization of Energy Systems

Full load synthesis/design optimization of a hybrid SOFC–GT power plant

An environomic approach for the modeling and optimization of a district heating network based on centralized and decentralized heat pumps, cogeneration and/or gas furnace. Part I: Methodology

Michael R. von Spakovsky

Papers

CGAM Problem: Definition and Conventional Solution

Application of Engineering Functional Analysis to the Analysis and Optimization of the CGAM Problem

A Brief Review of Methods for the Design and Synthesis Optimization of Energy Systems

Full load synthesis/design optimization of a hybrid SOFC–GT power plant

An environomic approach for the modeling and optimization of a district heating network based on centralized and decentralized heat pumps, cogeneration and/or gas furnace. Part I: Methodology