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609
Interior Point Methods in Semidefinite Programming with Applications to Combinatorial Optimization
 SIAM Journal on Optimization
, 1993
"... We study the semidefinite programming problem (SDP), i.e the problem of optimization of a linear function of a symmetric matrix subject to linear equality constraints and the additional condition that the matrix be positive semidefinite. First we review the classical cone duality as specialized to S ..."
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Cited by 547 (12 self)
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We study the semidefinite programming problem (SDP), i.e the problem of optimization of a linear function of a symmetric matrix subject to linear equality constraints and the additional condition that the matrix be positive semidefinite. First we review the classical cone duality as specialized
Accurate transcription initiation by RNA polymerase II in a soluble extract from isolated mammalian nuclei. Nucleic Acids Res
, 1983
"... We have developed a procedure for preparing extracts from nuclei of human tissue culture cells that directs accurate transcription initiation in vitro from class II promoters. Conditions of extraction and assay have been optimized for maximum activity using the major late promoter of adenovirus 2. T ..."
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Cited by 1066 (11 self)
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We have developed a procedure for preparing extracts from nuclei of human tissue culture cells that directs accurate transcription initiation in vitro from class II promoters. Conditions of extraction and assay have been optimized for maximum activity using the major late promoter of adenovirus 2
RemaRks on VaRious applications of
, 2007
"... Microwave energy is an alternative energy source that is receiving a considerable amount of attention from researchers for a wide spectrum of applications. The fundamentally different method of transferring energy from the source to the sample is the main benefit of utilizing microwave energy; by di ..."
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Microwave energy is an alternative energy source that is receiving a considerable amount of attention from researchers for a wide spectrum of applications. The fundamentally different method of transferring energy from the source to the sample is the main benefit of utilizing microwave energy; by directly delivering energy to microwaveabsorbing materials, conventional issues such as long heating periods, thermal gradients, and energy lost to the system environment can be minimized or avoided. Furthermore, the penetrating capacity of microwave allows volumetric heating of samples. These attributes of microwave energy make utilizing it very attractive for industrial applications as an alternative to conventional processing methods. The reality is otherwise however, and limited literature is found in any given area of work. Despite the lack of focus, in most published cases, the utilization of microwave energy has produced improved results compared to conventional methods with reduced heating times or reaction temperatures. This review provides a general overview of reported applications of microwave energy in the open literature. It also attempts to summarize the results obtained for various common uses and highlights some applications that have not gathered as much attention as anticipated.
Optimal execution of portfolio transactions
 Journal of Risk
"... We consider the execution of portfolio transactions with the aim of minimizing a combination of volatility risk and transaction costs arising from permanent and temporary market impact. For a simple linear cost model, we explicitly construct the efficient frontier in the space of timedependent liqu ..."
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Cited by 217 (8 self)
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dependent liquidation strategies, which have minimum expected cost for a given level of uncertainty. We may then select optimal strategies either by minimizing a quadratic utility function, or by minimizing Value at Risk. The latter choice leads to the concept of Liquidityadjusted VAR, or LVaR, that explicitly
Minimizing the Average Cost of Paging Under Delay Constraints
 Wireless Networks
, 1995
"... Efficient paging procedures help minimize the amount of bandwidth expended in locating a mobile unit. Given a probability distribution on user location, it is shown that the optimal paging strategy which minimizes the expected number of locations polled E[L] is to query each location sequentially in ..."
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Cited by 120 (12 self)
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Efficient paging procedures help minimize the amount of bandwidth expended in locating a mobile unit. Given a probability distribution on user location, it is shown that the optimal paging strategy which minimizes the expected number of locations polled E[L] is to query each location sequentially
Uniform Object Generation for Optimizing Oneclass Classifiers
 Journal of Machine Learning Research
, 2001
"... tion, one lled theta rgetcla ss,ha s to be distinguished from the rest of thefea ssumed t only mples of theta rgetcla a rea va ila Thiscla s to be constructed such t objects not ting from the ta329 set, by definition outlier objects, a. not cla.2 fieda s ta2G9 objects In previous resea rch the supp ..."
Abstract

Cited by 68 (5 self)
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tion, one lled theta rgetcla ss,ha s to be distinguished from the rest of thefea ssumed t only mples of theta rgetcla a rea va ila Thiscla s to be constructed such t objects not ting from the ta329 set, by definition outlier objects, a. not cla.2 fieda s ta2G9 objects In previous resea rch
MeanVarianceVaR Based Portfolio Optimization
, 2000
"... We propose two new portfolio optimization approaches. The first is a twostage portfolio optimization approach using both meanvariance and meanVaR approaches in a priority order. The second is a general meanvarianceVaR approach using both variance and VaR as a doublerisk measure simultaneously. ..."
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Cited by 5 (0 self)
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We propose two new portfolio optimization approaches. The first is a twostage portfolio optimization approach using both meanvariance and meanVaR approaches in a priority order. The second is a general meanvarianceVaR approach using both variance and VaR as a doublerisk measure simultaneously
Beyond Induction Variables
, 1992
"... Induction variable detection is usually closely tied to the strength reduction optimization. This paper studies induction variable analysis from a different perspective, that of finding induction variables for data dependence analysis. While classical induction variable analysis techniques have been ..."
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Cited by 95 (6 self)
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Induction variable detection is usually closely tied to the strength reduction optimization. This paper studies induction variable analysis from a different perspective, that of finding induction variables for data dependence analysis. While classical induction variable analysis techniques have
VaRbased Optimal Partial Hedging
"... Abstract. Hedging is one of the most important topics in finance. When a financial market is complete, every contingent claim can be hedged perfectly to eliminate any potential future obligations. When the financial market is incomplete, the investor may eliminate his risk exposure by superhedging. ..."
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Abstract. Hedging is one of the most important topics in finance. When a financial market is complete, every contingent claim can be hedged perfectly to eliminate any potential future obligations. When the financial market is incomplete, the investor may eliminate his risk exposure by superhedging. In practice, both hedging strategies are not satisfactory due to their high implementation costs which erode the chance of making any profit. A more practical and desirable strategy is to resort to the partial hedging which hedges the future obligation only partially. The quantile hedging of
Optimization of Simple CPU Core for FPGA M. Be vá
"... Programmable logic arrays (FPGAs) containing CPU core and custom logic present a viable implementation platform for the current generation of embedded systems. This approach offers higher flexibility and lower cost comparing to traditional implementation of separate microcontroller and gluelogic. I ..."
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Programmable logic arrays (FPGAs) containing CPU core and custom logic present a viable implementation platform for the current generation of embedded systems. This approach offers higher flexibility and lower cost comparing to traditional implementation of separate microcontroller and gluelogic. Important design decision is the choice of the right CPU core. Current market offers large number of CPU cores ranging from tiny 4bit cores to 32bit RISC CPUs. These cores are typically compatible with some commercially available microcontroller family. Various clones of the popular Intel 8051 micro are most commonly used. However, experience shows that these cores contain a large legacy overhead and most importantly do not offer a good compilation model for high level languages like Pascal or C. Resulting implementation is either large and inefficient program or difficult to maintain program written in assembly language. A simple 16bit CPU core called DOP was developed on our department to enhance programmer productivity together with efficiency of implementation on FPGAs. This paper presents discussion of several architectures implementing DOP instruction set and their implementation properties on the current generation of FPGAs. Design of CPU consists of two steps. Instruction Set Architecture (ISA) definition is
Results 1  10
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609