Titlebook: General Principles of Tumor Immunotherapy; Basic and Clinical A Howard L. Kaufman,Jedd D. Wolchok Book 2007 Springer Science+Business Media

会议

Stricture

Geometry Processing FunctionsIn Chapter 8, we discussed how to perform proximity analysis using a spatial index and associated spatial operators. In this Chapter, we describe . functions, which are also referred to as . (whenever there is no ambiguity), which complement this functionality. In contrast to the spatial operators, these geometry processing functions

pulse-pressure

委派

Spatial Indexes and OperatorsIn previous chapters, we showed how to store location information in Oracle tables. We augmented existing tables, such as branches, customers, and competitors, with an SDO_GEOMETRY column to store locations of data objects. In this chapter, we describe how to use this spatial information to perform proximity analysis

BET

Applications of Factorization and Toeplitz Operators to Inverse ProblemsA number of results in the theory of inverse problems for polynomials on the line and on the circle will be reviewed. Analogues of the methods of Gelfand-Levitan, Krein, and Marchenko will be presented with special emphasis on the role played by factorization and Toeplitz operators.

fender

Manipulating SDO_GEOMETRY in Application ProgramsSo far, you have seen how to define and load spatial objects using the SDO_GEOMETRY type. You have also seen how to read spatial objects from SQL using SQL*Plus. In this chapter, we cover how to manipulate SDO_GEOMETRY types in the PL/SQL and Java programming languages

蒙太奇

Tips, Common Mistakes, and Common ErrorsThis is the last chapter of the book. Now that you have studied many techniques for how to location-enable your application and how to incorporate spatial analysis and visualization tools in your application, we think it is time for a little advice.

blight

The Koecher Norm and Toeplitz Operators in Several VariablesIn this note, I sketch portions of the proofs of several results recently obtained jointly with C. Berger and A. Koranyi [2]. One of the main technical results of that paper has been simplified by use of a classical fact about “harmonic projection” of polynomials.

延期

咽下

Quasisimilarity of Rational Toeplitz OperatorsA recent series of papers, [1]–[3], has dealt with the structure, up to similarity, of rational Toeplitz operators T., with spectrum consisting of the union of loops, intersecting at only a finite number of points. This paper deals with quasisimilarity.