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In this webinar, we take a trip through the build-deploy-test workflow and learn how Team Foundation Server Lab Management allows for easy and customizable automated builds, seamless deployment to multiple machines simultaneously, and automated verification tests to ensure ongoing high product quality.

Learn how to set up your own test environments for the build-deploy-test workflow, including leveraging the TFS build system, automatic configuration of test virtual machines, and automatic deployment of your product assets including build verification tests. Lab Management is an often-misunderstood feature in the Team Foundation Server suite of functionality.

Let us dispel some of the myths and help you move forward on your path to build-deploy-test greatness. In this webinar, we illustrate the power of using TFS as a build system and provide arguments for why teams should use it. We will answer questions such as:.

Now that Git is fully integrated with TFS, the decision depends solely on what your team needs from version control. Looking at the strengths and features of each system can help make the decision easier. In this webinar, we take a trip through a typical development model and learn how Team Foundation Server addresses many aspects of the application lifecycle, including project management, QA and developer workflow, build, and continuous feedback generation.

Additionally, we throw in some proven software engineering best practices for your team to leverage. If you are considering Agile, Kanban, Scrum or have a custom process, Team Foundation Server provides a flexible, reliable, and easy-to-use system to help manage your development. You may find that you probably already own a copy of Team Foundation Server, so why not see what it can do?

In the paper, we delve further into the costs to consider and the benefits to evaluate your business case for an enterprise system modernization. In addition, the paper also discusses some best practices to follow as you approach a modernization and help realize the ROI. But they are often faced with a challenge: By removing repetitious tasks we can improve our efficiency as a software engineering team. Team Foundation Server Lab Management capabilities help automate the build, deploy, test tasks to continually gauge product health and allow your team to focus on the right things.

If the input values of U,V, and W do not add to 1, this component will maintain the ratio of the three values while normalizing them. This component is used to quickly extract color information from a mesh.

If the given points are not on the mesh, this component will calculate the closest point. This component uses Parallel Computing for speed. This component provides access to the adjacency data structured according to the edges of the input mesh. The output data is provided as a tree with one branch for each edge in the mesh.

It returns the mesh edges, the edge end points, center ponts of the faces adjacent to each edge dual , the neighboring edges as line objects arranged in clockwise order , and neighbouring face centers center points of faces adjacent to the edge start and end points.

This component is similar to the others in this section, but the data is organized in a tree according to the faces of the mesh, with one branch per face. The outputs are the face centers, vertices of each face arranged in counter clockwise order , neighbouring edges arranged in counter clockwise order , and the centers of neighboring faces arranged in counter clockwise order.

Face Neighbors - Face centers, face vertices, neighbouring edges, neighbouring face centers. This component outputs the mesh vertices, neighboring vertices arranged in clockwise order , neighbouring edges arranged in clockwise order , and neighbouring face centers arranged in clockwise order structured in a tree according to the vertices of the mesh. Vertex Neighbors - Vertices, neighbouring vertices, neighbouring edges, neighbouring face centers.

These components take a single number as input for the radius, and produce meshes centered at the origin, and composed of one face per side. With the addition of the Cube, which is already availible through Grasshopper's built-in primitives, these make up the five Platonic solids.

It makes use of the Lapacian Smoothing algorithm for Half-Edge structured meshes. It does not change the topology or vertex count of welded meshes, but will combine identical vertices if there are any duplicates caused by an unwelded mesh. We can specify the smoothing strength, boundary condition, boundary tolerance as well as the number of iterations.

This is a recursive subdivision defined by the Catmull Clark algorithm. We can specify the number of iterations as well as how to handle naked edge conditions. This subdivison component will create an all quad mesh by adding a face for each edge of the mesh. These components provide a number of different transformations described below. Each component has the additional capability of accepting per-vertex distance data to allow for variations of the transformation magnitudes across the mesh.

Reconstructs a new mesh on the inside of a face based on an offset value. This component accepts either a mesh or a list of closed polylines as input.

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With the addition of the Cube, which is already availible through Grasshopper's built-in primitives, these make up the five Platonic solids. It makes use of the Lapacian Smoothing algorithm for Half-Edge structured meshes. It does not change the topology or vertex count of welded meshes, but will combine identical vertices if there are any duplicates caused by an unwelded mesh.

We can specify the smoothing strength, boundary condition, boundary tolerance as well as the number of iterations. This is a recursive subdivision defined by the Catmull Clark algorithm. We can specify the number of iterations as well as how to handle naked edge conditions. This subdivison component will create an all quad mesh by adding a face for each edge of the mesh.

These components provide a number of different transformations described below. Each component has the additional capability of accepting per-vertex distance data to allow for variations of the transformation magnitudes across the mesh. Reconstructs a new mesh on the inside of a face based on an offset value. This component accepts either a mesh or a list of closed polylines as input.

Outputs a frame around mesh faces. Each resultant face will have a new hole in the center. This component will thicken an input mesh along the vertex normals, and according to provided distance values. First the mesh face goes through the frame operation then the face inner is split the selected faces and allows the user to specify the push or pull amount from the center of the original polygon. For example, a four-sided polygon quad is split into 4 three-sided polygons with one shared vertex in the middle.

The height input allows you to transform that vertex. This component combines multiple meshes, has options for either welding a mesh based on input angle or combining identical vertices. We can also flip the orientation of the mesh. This component also detects potential topology issues and returns Remarks and Warnings with detailed explanantions. In the event that combining identical vertices creates bad topology the component will return the input list of meshes instead of a combined merged mesh.

The user can also choose to combine the mesh without merging any of its vertices. This component returns the mesh naked edges, mesh edges, face polylines and if the mesh is unwelded it will return the unwelded mesh edges.

This component returns mesh information based on the topology. Now that Git is fully integrated with TFS, the decision depends solely on what your team needs from version control. Looking at the strengths and features of each system can help make the decision easier. In this webinar, we take a trip through a typical development model and learn how Team Foundation Server addresses many aspects of the application lifecycle, including project management, QA and developer workflow, build, and continuous feedback generation.

Additionally, we throw in some proven software engineering best practices for your team to leverage. If you are considering Agile, Kanban, Scrum or have a custom process, Team Foundation Server provides a flexible, reliable, and easy-to-use system to help manage your development. You may find that you probably already own a copy of Team Foundation Server, so why not see what it can do?

In the paper, we delve further into the costs to consider and the benefits to evaluate your business case for an enterprise system modernization.

In addition, the paper also discusses some best practices to follow as you approach a modernization and help realize the ROI. But they are often faced with a challenge: By removing repetitious tasks we can improve our efficiency as a software engineering team.

Team Foundation Server Lab Management capabilities help automate the build, deploy, test tasks to continually gauge product health and allow your team to focus on the right things. Without a successful build, you have nothing. The build is a key to that nirvana. We will answer questions such as: What are the advantages of having an automated build?

What are the different types of builds? How do I define and configure a build in TFS?

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Technical Due Diligence Checklist Download here. Download this checklist for a list of questions to ask yourself as you begin each outsourced project.

Agile Snafus Download here. Crosslake has collected years of experience on Agile anti-patterns and packaged them in a short eBook. In this webinar, Crosslake, an enabler of software engineering excellence, and Skytap will share their ideas for how to improve software quality and velocity with the automated creation and management of on-demand, scalable test environments.

In this webinar, we take a trip through the build-deploy-test workflow and learn how Team Foundation Server Lab Management allows for easy and customizable automated builds, seamless deployment to multiple machines simultaneously, and automated verification tests to ensure ongoing high product quality.

Learn how to set up your own test environments for the build-deploy-test workflow, including leveraging the TFS build system, automatic configuration of test virtual machines, and automatic deployment of your product assets including build verification tests.

Lab Management is an often-misunderstood feature in the Team Foundation Server suite of functionality. Let us dispel some of the myths and help you move forward on your path to build-deploy-test greatness. In this webinar, we illustrate the power of using TFS as a build system and provide arguments for why teams should use it. We will answer questions such as:. Now that Git is fully integrated with TFS, the decision depends solely on what your team needs from version control. Looking at the strengths and features of each system can help make the decision easier.

In this webinar, we take a trip through a typical development model and learn how Team Foundation Server addresses many aspects of the application lifecycle, including project management, QA and developer workflow, build, and continuous feedback generation. Additionally, we throw in some proven software engineering best practices for your team to leverage. If you are considering Agile, Kanban, Scrum or have a custom process, Team Foundation Server provides a flexible, reliable, and easy-to-use system to help manage your development.

You may find that you probably already own a copy of Team Foundation Server, so why not see what it can do? It makes use of the Lapacian Smoothing algorithm for Half-Edge structured meshes. It does not change the topology or vertex count of welded meshes, but will combine identical vertices if there are any duplicates caused by an unwelded mesh.

We can specify the smoothing strength, boundary condition, boundary tolerance as well as the number of iterations. This is a recursive subdivision defined by the Catmull Clark algorithm.

We can specify the number of iterations as well as how to handle naked edge conditions. This subdivison component will create an all quad mesh by adding a face for each edge of the mesh. These components provide a number of different transformations described below. Each component has the additional capability of accepting per-vertex distance data to allow for variations of the transformation magnitudes across the mesh.

Reconstructs a new mesh on the inside of a face based on an offset value. This component accepts either a mesh or a list of closed polylines as input. Outputs a frame around mesh faces. Each resultant face will have a new hole in the center. This component will thicken an input mesh along the vertex normals, and according to provided distance values.

First the mesh face goes through the frame operation then the face inner is split the selected faces and allows the user to specify the push or pull amount from the center of the original polygon. For example, a four-sided polygon quad is split into 4 three-sided polygons with one shared vertex in the middle. The height input allows you to transform that vertex. This component combines multiple meshes, has options for either welding a mesh based on input angle or combining identical vertices.

We can also flip the orientation of the mesh. This component also detects potential topology issues and returns Remarks and Warnings with detailed explanantions. In the event that combining identical vertices creates bad topology the component will return the input list of meshes instead of a combined merged mesh. The user can also choose to combine the mesh without merging any of its vertices. This component returns the mesh naked edges, mesh edges, face polylines and if the mesh is unwelded it will return the unwelded mesh edges.

This component returns mesh information based on the topology. The other returns the Mesh Status, which is the condition of the mesh, whether it has non manifold edges, degenerate face count, naked edge count, and disjoined mesh count.

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If the input values of U,V, and W do not add to 1, this component will maintain the ratio of the three values while normalizing them. This component is used to quickly extract color information from a mesh. If the given points are not on the mesh, this component will calculate the closest point. This component uses Parallel Computing for speed. This component provides access to the adjacency data structured according to the edges of the input mesh.

The output data is provided as a tree with one branch for each edge in the mesh. It returns the mesh edges, the edge end points, center ponts of the faces adjacent to each edge dual , the neighboring edges as line objects arranged in clockwise order , and neighbouring face centers center points of faces adjacent to the edge start and end points.

This component is similar to the others in this section, but the data is organized in a tree according to the faces of the mesh, with one branch per face. The outputs are the face centers, vertices of each face arranged in counter clockwise order , neighbouring edges arranged in counter clockwise order , and the centers of neighboring faces arranged in counter clockwise order.

Face Neighbors - Face centers, face vertices, neighbouring edges, neighbouring face centers. This component outputs the mesh vertices, neighboring vertices arranged in clockwise order , neighbouring edges arranged in clockwise order , and neighbouring face centers arranged in clockwise order structured in a tree according to the vertices of the mesh.

Vertex Neighbors - Vertices, neighbouring vertices, neighbouring edges, neighbouring face centers. These components take a single number as input for the radius, and produce meshes centered at the origin, and composed of one face per side. With the addition of the Cube, which is already availible through Grasshopper's built-in primitives, these make up the five Platonic solids. It makes use of the Lapacian Smoothing algorithm for Half-Edge structured meshes.

It does not change the topology or vertex count of welded meshes, but will combine identical vertices if there are any duplicates caused by an unwelded mesh. We can specify the smoothing strength, boundary condition, boundary tolerance as well as the number of iterations.

This is a recursive subdivision defined by the Catmull Clark algorithm. We can specify the number of iterations as well as how to handle naked edge conditions. This subdivison component will create an all quad mesh by adding a face for each edge of the mesh. These components provide a number of different transformations described below.

Each component has the additional capability of accepting per-vertex distance data to allow for variations of the transformation magnitudes across the mesh. Reconstructs a new mesh on the inside of a face based on an offset value.

This component accepts either a mesh or a list of closed polylines as input. Some resources do require you to fill out a form, however, we respect your privacy and do not share your email address. Technical Due Diligence Checklist Download here.

Download this checklist for a list of questions to ask yourself as you begin each outsourced project. Agile Snafus Download here. Crosslake has collected years of experience on Agile anti-patterns and packaged them in a short eBook. In this webinar, Crosslake, an enabler of software engineering excellence, and Skytap will share their ideas for how to improve software quality and velocity with the automated creation and management of on-demand, scalable test environments.

In this webinar, we take a trip through the build-deploy-test workflow and learn how Team Foundation Server Lab Management allows for easy and customizable automated builds, seamless deployment to multiple machines simultaneously, and automated verification tests to ensure ongoing high product quality.

Learn how to set up your own test environments for the build-deploy-test workflow, including leveraging the TFS build system, automatic configuration of test virtual machines, and automatic deployment of your product assets including build verification tests. Lab Management is an often-misunderstood feature in the Team Foundation Server suite of functionality.

Let us dispel some of the myths and help you move forward on your path to build-deploy-test greatness. In this webinar, we illustrate the power of using TFS as a build system and provide arguments for why teams should use it.

We will answer questions such as:. Now that Git is fully integrated with TFS, the decision depends solely on what your team needs from version control. Looking at the strengths and features of each system can help make the decision easier. In this webinar, we take a trip through a typical development model and learn how Team Foundation Server addresses many aspects of the application lifecycle, including project management, QA and developer workflow, build, and continuous feedback generation.

Additionally, we throw in some proven software engineering best practices for your team to leverage. If you are considering Agile, Kanban, Scrum or have a custom process, Team Foundation Server provides a flexible, reliable, and easy-to-use system to help manage your development.

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