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  • C++, although a marvelous language, isn t perfect. Matthew Wilson has been working with it for over

    C++, although a marvelous language, isn t perfect. Matthew Wilson has been working with it for over a decade, and during that time he has found inherent limitations that require skillful workarounds. In this book, he doesn t just tell you what s wrong with C++, but offers practical techniques and tools for writing code that s more robust, flexible, efficient, and maintainable. He shows you how to tame C++ s complexity, cut through its vast array of paradigms, take back control over your code--and get far better results

    標簽: marvelous although language Matthew

    上傳時間: 2014-01-22

    上傳用戶:妄想演繹師

  • DATA:BEGIN OF HEADDATA. INCLUDE STRUCTURE BAPIMATHEAD. DATA:END OF HEADDATA. DATA:BEGIN OF PLAN

    DATA:BEGIN OF HEADDATA. INCLUDE STRUCTURE BAPIMATHEAD. DATA:END OF HEADDATA. DATA:BEGIN OF PLANTDATA. INCLUDE STRUCTURE BAPI_MARC. DATA:END OF PLANTDATA. DATA:BEGIN OF PLANTDATAX. INCLUDE STRUCTURE BAPI_MARCX. DATA:END OF PLANTDATAX. READ TABLE XMKPF INDEX 1. IF XMKPF-TCODE2 = MIGO_GR . LOOP AT XMSEG.

    標簽: DATA HEADDATA BEGIN BAPIMATHEAD

    上傳時間: 2015-12-17

    上傳用戶:古谷仁美

  • Using the UnderC Tokenizer Class It s often necessary to parse complex text files, where standard

    Using the UnderC Tokenizer Class It s often necessary to parse complex text files, where standard i/o is too clumsy. C programmers fall back on strtok(), but this can be tricky to use properly. Besides, you are still responsible for keeping strtok() fed with new input, and I don t like the schlepp. Tokenizer is a text-parsing input stream, modelled after the (undocumented) VCL TParser class, and based on the UnderC tokenizing preprocessor front-end.

    標簽: Tokenizer necessary standard complex

    上傳時間: 2013-12-16

    上傳用戶:whenfly

  • bp神經網絡算法是解決最優化問題的先進算法之一

    bp神經網絡算法是解決最優化問題的先進算法之一,本論文討論了神經網絡中使用最為廣泛的前饋神經網絡。其網絡權值學習算法中影響最大的就是誤差反向傳播算法(back-propagation簡稱BP算法)。BP算法存在局部極小點,收斂速度慢等缺點。基于優化理論的Levenberg-Marquardt算法忽略了二階項。該文討論當誤差不為零或者不為線性函數即二階項S(W)不能忽略時的Hesse矩陣的近似計算,進而訓練網絡。

    標簽: 神經網絡算法 算法

    上傳時間: 2015-12-31

    上傳用戶:wendy15

  • 《JavaServer Faces》 In JavaServer Faces, developers learn how to use the new JavaServer Faces framew

    《JavaServer Faces》 In JavaServer Faces, developers learn how to use the new JavaServer Faces framework to build real-world web applications. The book contains everything you ll need: how to construct the HTML on the front end how to create the user interface components that connect the front end to your business objects how to write a back-end that s JSF-friendly and how to create the deployment descriptors that tie everything together. This book is a complete guide to the crucial new JSF technology.

    標簽: JavaServer Faces developers framew

    上傳時間: 2016-01-02

    上傳用戶:redmoons

  • IEEE Std 1180-1990. IEEE Standard Specifications for the Implementations of 8x8 Inverse Discrete Cos

    IEEE Std 1180-1990. IEEE Standard Specifications for the Implementations of 8x8 Inverse Discrete Cosine Transform, specifies the numerical characteristics of the 8x8 inverse discrete cosine transform (IDCT) for use in visual telephony and similar applications where the 8x8 IDCT results are used in a reconstruction loop. The specifications ensure the compatibility between different implementations of the IDCT.

    標簽: IEEE Implementations Specifications Discrete

    上傳時間: 2016-01-31

    上傳用戶:guanliya

  • 16 relay output channels and 16 isolated digital input channels LED indicators to show activated

    16 relay output channels and 16 isolated digital input channels LED indicators to show activated relays Jumper selectable Form A/Form B-type relay output channel Output status read-back Keep relay output values when hot system reset High-voltage isolation on input channels(2,500 VDC) Hi ESD protection(2,00VDC) High over-voltage protection(70VDC) Wide input range(10~50VDC) Interrupt handling capability High-density DB-62 connector Board ID

    標簽: channels indicators activated isolated

    上傳時間: 2016-02-15

    上傳用戶:dongbaobao

  • Parking Lot Simulation: Parking lot attendants often park cars bumper-to-bumper, several cars deep.

    Parking Lot Simulation: Parking lot attendants often park cars bumper-to-bumper, several cars deep. This maximizes the number of cars they can fit into a parking lot at the expense of complicating the process of retrieving someone s car when they want to leave. Consider the case of a person wanting to leave the parking lot but their car is parked in the back of a row of cars. In this case, all the cars parked in front of this person s car must be temporarily moved to allow this person to leave.

    標簽: Parking cars bumper-to-bumper Simulation

    上傳時間: 2016-02-15

    上傳用戶:lepoke

  • SDP, Service Delivery Platform, is more for telecom operators who want to manage the Data Service be

    SDP, Service Delivery Platform, is more for telecom operators who want to manage the Data Service better delivered to the end device users by bridging with back-end content providers. Operators rely on the content provider to create & distribute data content to different types of devices. This is different from the open world in the internet communication. Operators must control who can access what content based on his rate plans. Also, based the content access results, the process will be recorded as the transaction records based on which billing statements can be generated to collected the money and shared by operators and content providers. I am working on the conceptual architecture level and the real implementation is very complicated due to too many types of service from different content providers to different types of devices based on the different types of the rate plans.

    標簽: Service operators Delivery Platform

    上傳時間: 2016-03-10

    上傳用戶:zycidjl

  • SDP, Service Delivery Platform, is more for telecom operators who want to manage the Data Service be

    SDP, Service Delivery Platform, is more for telecom operators who want to manage the Data Service better delivered to the end device users by bridging with back-end content providers. Operators rely on the content provider to create & distribute data content to different types of devices. This is different from the open world in the internet communication. Operators must control who can access what content based on his rate plans. Also, based the content access results, the process will be recorded as the transaction records based on which billing statements can be generated to collected the money and shared by operators and content providers. I am working on the conceptual architecture level and the real implementation is very complicated due to too many types of service from different content providers to different types of devices based on the different types of the rate plans.

    標簽: Service operators Delivery Platform

    上傳時間: 2013-12-03

    上傳用戶:yph853211

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